# HG changeset patch
# User galaxyp
# Date 1516914658 18000
# Node ID 6d3560a3a548da9bcfed232863c21a4c650a035c

planemo upload for repository  https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/flashlfq commit 7fafb40376213a4c59322517e6a6aaac38d7e376

diff -r 000000000000 -r 6d3560a3a548 flashlfq.xml
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/flashlfq.xml	Thu Jan 25 16:10:58 2018 -0500
@@ -0,0 +1,153 @@
+<tool id="flashlfq" name="FlashLFQ" version="0.1.99">
+    <description>ultrafast label-free quantification for mass-spectrometry proteomics</description>
+    <requirements>
+        <requirement type="package" version="0.1.99">flashlfq</requirement>
+    </requirements>
+    <command><![CDATA[
+        #import re
+        #set $idt_path = $re.sub('\s','_',$re.sub('[.][^.]*$','',$idt.display_name.split('/')[-1])) + ".psmtsv"
+        ln -s '${idt}' '${idt_path}' &&
+        #for $peak_list in $peak_lists:
+            #set $input_name = $re.sub('[.][^.]*$','',$peak_list.display_name.split('/')[-1]) + ".mzML"
+            ln -s '${peak_list}' '${input_name}' &&
+        #end for
+
+        FlashLFQ 
+        --idt '$idt_path'
+        --rep `pwd`
+        --ppm $ppm
+        --iso $iso
+        --nis $nis
+        #if $intensity == 'integrate':
+            --int true
+        #end if
+        #if $charge == 'precursor':
+            --chg true
+        #end if
+        $rmm $mbr
+        --pau false
+        && cat *_FlashLFQ_Log.txt | sed 's/\(Analysis summary for:\).*working./\1 /' > '$log' 
+        && cp *_FlashLFQ_QuantifiedBaseSequences.tsv '$quantifiedBaseSequences'
+        && cp *_FlashLFQ_QuantifiedModifiedSequences.tsv '$quantifiedModifiedSequences'
+        && cp *_FlashLFQ_QuantifiedPeaks.tsv '$quantifiedPeaks'
+        && cp *_FlashLFQ_QuantifiedProteins.tsv '$quantifiedProteins'
+    ]]></command>
+    <inputs>
+        <param name="idt" type="data" format="tabular" label="identification file" 
+             help="MetaMorpheus,Morpheus"/>
+        <param name="peak_lists" type="data" format="mzml" multiple="true" label="spectrum files"/>
+        <param name="ppm" type="float" value="10" min="1" max="20" label="monoisotopic ppm tolerance"/>
+        <param name="iso" type="float" value="5" min="1" max="10" label="isotopic distribution tolerance in ppm"/>
+        <param name="nis" type="integer" value="2" min="1" max="30" label="number of isotopes required to be observed"/>
+        <param name="intensity" type="select" label="intensity">
+            <option value="apex" selected="true">use the apex intensity</option>
+            <option value="integrate">integrate chromatographic peak intensity</option>
+        </param>
+        <param name="charge" type="select" label="charge">
+            <option value="all" selected="true">use all identification detected charge states</option>
+            <option value="precursor">use precursor charge</option>
+        </param>
+        <param name="rmm" type="boolean" truevalue="--rmm true" falsevalue="--rmm false" checked="true" 
+            label="require observed monoisotopic mass peak"/>
+        <param name="mbr" type="boolean" truevalue="--mbr true" falsevalue="--mbr false" checked="false" 
+            label="match between runs"/>
+    </inputs>
+    <outputs>
+        <data name="log" format="txt" label="${tool.name} on ${on_string}: Log" />
+        <data name="quantifiedPeaks" format="tabular" label="${tool.name} on ${on_string}: QuantifiedPeaks.tsv">
+            <actions>
+                <action name="column_names" type="metadata" 
+                 default="File Name,Base Sequence,Full Sequence,Protein Group,Peptide Monoisotopic Mass,MS2 Retention Time,Precursor Charge,Theoretical MZ,Peak intensity,Peak RT Start,Peak RT Apex,Peak RT End,Peak MZ,Peak Charge,Num Charge States Observed,Peak Detection Type,PSMs Mapped,Base Sequences Mapped,Full Sequences Mapped,Peak Split Valley RT,Peak Apex Mass Error (ppm)"/>
+            </actions>
+        </data>
+        <data name="quantifiedBaseSequences" format="tabular" label="${tool.name} on ${on_string}: QuantifiedBaseSequences.tsv">
+            <actions>
+                <action name="column_names" type="metadata" 
+                 default="Sequence,Protein Group,${','.join(['Intensity_' + i.name for i in $peak_lists])},${','.join(['Detection Type_' + i.name for i in $peak_lists])}"/>
+            </actions>
+        </data>
+        <data name="quantifiedModifiedSequences" format="tabular" label="${tool.name} on ${on_string}: QuantifiedModifiedSequences.tsv">
+            <actions>
+                <action name="column_names" type="metadata" 
+                 default="Sequence,Protein Group,${','.join(['Intensity_' + i.name for i in $peak_lists])},${','.join(['Detection Type_' + i.name for i in $peak_lists])}"/>
+            </actions>
+        </data>
+        <data name="quantifiedProteins" format="tabular" label="${tool.name} on ${on_string}: QuantifiedProteins.tsv">
+            <actions>
+                <action name="column_names" type="metadata" 
+                 default="Protein"/>
+            </actions>
+        </data>
+    </outputs>
+    <tests>
+        <test>
+            <param name="idt" value="aggregatePSMs_5ppmAroundZero.psmtsv" ftype="tabular"/>
+            <param name="peak_lists" value="sliced-mzml.mzML" ftype="mzml"/>
+            <param name="ppm" value="12"/>
+            <param name="iso" value="6"/>
+            <output name="log">
+                <assert_contents>
+                    <has_text text="ppmTolerance = 12" />
+                    <has_text text="isotopePpmTolerance = 6" />
+                </assert_contents>
+            </output>
+        </test>
+    </tests>
+    <help><![CDATA[
+
+**FlashLFQ** is an ultrafast label-free quantification for mass-spectrometry proteomics.
+
+**Accepted command-line arguments:**
+
+::
+
+    --idt [string | identification file path (TSV format)]
+    --raw [string | MS data file (.raw or .mzML)]
+    --rep [string | repository containing MS data files]
+    --ppm [double | monoisotopic ppm tolerance] (default = 10)
+    --iso [double | isotopic distribution tolerance in ppm] (default = 5)
+    --sil [boolean | silent mode; no console output] (default = false)
+    --pau [boolean | pause at end of run] (default = true)
+    --int [boolean | integrate chromatographic peak intensity instead of using 
+          the apex intensity] (default = false)
+    --chg [boolean | use only precursor charge state; when set to false, FlashLFQ looks 
+          for all charge states detected in the MS/MS identification file for each peptide] (default = false)
+    --mbr [bool|match between runs]
+    --rmm [bool|require observed monoisotopic mass peak]
+    --nis [int|number of isotopes required to be observed]
+
+
+**Tab-Delimited Identification Text File**
+
+The first line of the text file should contain column headers identifying what each column is. Note that MetaMorpheus (.psmtsv), Morpheus, MaxQuant (msms.txt), and TDPortal tab-delimited column headers are supported natively and such files can be read without modification. For search software that lists decoys and PSMs above 1% FDR (e.g., MetaMorpheus), you may want to remove these prior to FlashLFQ analysis. FlashLFQ will probably crash if ambiguous PSMs are passed into it (e.g., a PSM with more than 2 peptides listed in one line).
+
+The following headers are required in the list of MS/MS identifications:
+
+  - **File Name** - File extensions should be tolerated, but no extension is tested more extensively (e.g. use MyFile and not MyFile.mzML)
+  - **Base Sequence** - Should only contain amino acid sequences, or it will likely result in a crash
+  - **Full Sequence** - Modified sequence. Can contain any letters, but must be consistent between the same peptidoform to get accurate results
+  - **Peptide Monoisotopic Mass** - Theoretical monoisotopic mass, including modification mass
+  - **Scan Retention Time** - MS/MS identification scan retention time
+  - **Precursor Charge** - Charge of the ion selected for MS/MS resulting in the identification
+  - **Protein Accession** - Protein accession(s) for the peptide; protein quantification is still preliminary
+
+
+**Outputs**:
+
+  - **QuantifiedProteins.tsv** - Protein intensities are summed here within a run. 
+
+  - **QuantifiedPeaks.tsv** - Each chromatographic peak is shown here, even peaks that were not quantifiable (peak intensity = 0). Details about each peak, such as number of PSMs mapped, start/apex/end retention times, ppm error, etc are contained in this file. A peptide can have multiple peaks over the course of a run (e.g., oxidized peptidoforms elute at different times, etc). Ambiguous peaks are displayed with a | (pipe) delimiter to indicate more than one peptide mapped to that peak.
+
+  - **QuantifiedModifiedSequences.tsv** - Similar to QuantifiedBaseSequences, but instead of being summed by Base Sequence, peptide intensities are summed by modified sequence; this makes it convenient to compare modified peptidoform intensities across runs.
+
+  - **QuantifiedBaseSequences.tsv** - Peptide intensities are summed here within a run (including differently-modified forms of the same amino acid sequence) and displayed in a convenient format for comparing across runs. The identification type (MS/MS or MBR) is also indicated. A peptide with more than 30% of its intensity coming from ambiguous peak(s) is considered not quantifiable and is given an intensity of -1.
+
+
+  - **Log.txt** - Log of the FlashLFQ run. Includes timestamps and quantification time for each file, total analysis time, directories used, and settings.
+
+
+    ]]></help>
+    <citations>
+        <citation type="doi">10.1021/acs.jproteome.7b00608</citation>
+    </citations>
+</tool>
diff -r 000000000000 -r 6d3560a3a548 test-data/aggregatePSMs_5ppmAroundZero.psmtsv
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/aggregatePSMs_5ppmAroundZero.psmtsv	Thu Jan 25 16:10:58 2018 -0500
@@ -0,0 +1,5 @@
+File Name	Scan Number	Scan Retention Time	Num Experimental Peaks	Total Ion Current	Precursor Scan Number	Precursor Charge	Precursor MZ	Precursor Intensity	Precursor Mass	Score	Notch	Quantification Intensity	Ambiguous Matches	Protein Accession	Protein Name	Peptide Description	Start and End Residues In Protein	Previous Amino Acid	Next Amino Acid	Base Sequence	Full Sequence	Variable Mods	Matched Ion Counts	Matched Ion Masses	Localized Scores	Missed Cleavages	Peptide Monoisotopic Mass	Decoy/Contaminant/Target	Improvement Possible	Mass Diff (Da)	Mass Diff (ppm)Cumulative Target	Cumulative Decoy	QValue	Cumulative Target Notch	Cumulative Decoy Notch	QValue Notch
+sliced-raw	36	94.12193	13.00000	2929925.75000	34	2.00000	676.33484	3555206.50000	1350.65512	1.098	0.000	0	0.00000	P34223	UBX1_YEAST UBX domain-containing protein 1	full	[242 to 253]	K	Y	EGFQVADGPLYR	EGFQVADGPLYR	0	0;1	[[];[604.33330];]	[1.098,1.098,1.098,1.098,1.098,1.098,1.098,1.098,1.098,1.098,1.098,1.098]	0	1350.65681	T	0.000	-0.00169	-1.251201	0	0.000000	1	0	0.000000
+sliced-mzml	36	94.12193	13.00000	2929925.75000	34	2.00000	676.33484	3555188.00000	1350.65512	1.098	0.000	0	0.00000	P34223	UBX1_YEAST UBX domain-containing protein 1	full	[242 to 253]	K	Y	EGFQVADGPLYR	EGFQVADGPLYR	0	0;1	[[];[604.33330];]	[1.098,1.098,1.098,1.098,1.098,1.098,1.098,1.098,1.098,1.098,1.098,1.098]	0	1350.65681	T	0.000	-0.00169	-1.251202	0	0.000000	2	0	0.000000
+sliced-raw	25	94.05811	12.00000	2664486.50000	23	2.00000	676.33521	2498743.50000	1350.65586	1.094	0.000	0	0.00000	P34223	UBX1_YEAST UBX domain-containing protein 1	full	[242 to 253]	K	Y	EGFQVADGPLYR	EGFQVADGPLYR	0	0;1	[[];[604.33330];]	[1.094,1.094,1.094,1.094,1.094,1.094,1.094,1.094,1.094,1.094,1.094,1.094]	0	1350.65681	T	0.000	-0.00096	-0.708933	0	0.000000	3	0	0.000000
+sliced-mzml	25	94.05811	12.00000	2664486.50000	23	2.00000	676.33484	2493913.00000	1350.65512	1.094	0.000	0	0.00000	P34223	UBX1_YEAST UBX domain-containing protein 1	full	[242 to 253]	K	Y	EGFQVADGPLYR	EGFQVADGPLYR	0	0;1	[[];[604.33330];]	[1.094,1.094,1.094,1.094,1.094,1.094,1.094,1.094,1.094,1.094,1.094,1.094]	0	1350.65681	T	0.000	-0.00169	-1.251204	0	0.000000	4	0	0.000000
diff -r 000000000000 -r 6d3560a3a548 test-data/sliced-mzml.mzML
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/sliced-mzml.mzML	Thu Jan 25 16:10:58 2018 -0500
@@ -0,0 +1,6123 @@
+<?xml version="1.0" encoding="utf-8"?>
+<indexedmzML xmlns="http://psi.hupo.org/ms/mzml" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://psi.hupo.org/ms/mzml http://psidev.info/files/ms/mzML/xsd/mzML1.1.2_idx.xsd">
+  <mzML xmlns="http://psi.hupo.org/ms/mzml" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://psi.hupo.org/ms/mzml http://psidev.info/files/ms/mzML/xsd/mzML1.1.0.xsd" id="sliced-raw" version="1.1.0">
+    <cvList count="2">
+      <cv id="MS" fullName="Proteomics Standards Initiative Mass Spectrometry Ontology" version="4.0.1" URI="http://psidev.cvs.sourceforge.net/*checkout*/psidev/psi/psi-ms/mzML/controlledVocabulary/psi-ms.obo"/>
+      <cv id="UO" fullName="Unit Ontology" version="12:10:2011" URI="http://obo.cvs.sourceforge.net/*checkout*/obo/obo/ontology/phenotype/unit.obo"/>
+    </cvList>
+    <fileDescription>
+      <fileContent>
+        <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/>
+        <cvParam cvRef="MS" accession="MS:1000580" name="MSn spectrum" value=""/>
+      </fileContent>
+      <sourceFileList count="1">
+        <sourceFile id="RAW1" name="sliced-raw.raw" location="file:///C:\Users\rmillikin\Documents\Data\Yeast">
+          <cvParam cvRef="MS" accession="MS:1000768" name="Thermo nativeID format" value=""/>
+          <cvParam cvRef="MS" accession="MS:1000563" name="Thermo RAW format" value=""/>
+          <cvParam cvRef="MS" accession="MS:1000569" name="SHA-1" value="47b7a9a4b60c07f8229910014aea4b93ee226fec"/>
+        </sourceFile>
+      </sourceFileList>
+    </fileDescription>
+    <referenceableParamGroupList count="1">
+      <referenceableParamGroup id="CommonInstrumentParams">
+        <cvParam cvRef="MS" accession="MS:1001742" name="LTQ Orbitrap Velos" value=""/>
+        <cvParam cvRef="MS" accession="MS:1000529" name="instrument serial number" value="SN03001B"/>
+      </referenceableParamGroup>
+    </referenceableParamGroupList>
+    <softwareList count="2">
+      <software id="Xcalibur" version="2.6.0">
+        <cvParam cvRef="MS" accession="MS:1000532" name="Xcalibur" value=""/>
+      </software>
+      <software id="pwiz" version="3.0.10875">
+        <cvParam cvRef="MS" accession="MS:1000615" name="ProteoWizard software" value=""/>
+      </software>
+    </softwareList>
+    <instrumentConfigurationList count="2">
+      <instrumentConfiguration id="IC1">
+        <referenceableParamGroupRef ref="CommonInstrumentParams"/>
+        <componentList count="3">
+          <source order="1">
+            <cvParam cvRef="MS" accession="MS:1000398" name="nanoelectrospray" value=""/>
+            <cvParam cvRef="MS" accession="MS:1000485" name="nanospray inlet" value=""/>
+          </source>
+          <analyzer order="2">
+            <cvParam cvRef="MS" accession="MS:1000484" name="orbitrap" value=""/>
+          </analyzer>
+          <detector order="3">
+            <cvParam cvRef="MS" accession="MS:1000624" name="inductive detector" value=""/>
+          </detector>
+        </componentList>
+        <softwareRef ref="Xcalibur"/>
+      </instrumentConfiguration>
+      <instrumentConfiguration id="IC2">
+        <referenceableParamGroupRef ref="CommonInstrumentParams"/>
+        <componentList count="3">
+          <source order="1">
+            <cvParam cvRef="MS" accession="MS:1000398" name="nanoelectrospray" value=""/>
+            <cvParam cvRef="MS" accession="MS:1000485" name="nanospray inlet" value=""/>
+          </source>
+          <analyzer order="2">
+            <cvParam cvRef="MS" accession="MS:1000083" name="radial ejection linear ion trap" value=""/>
+          </analyzer>
+          <detector order="3">
+            <cvParam cvRef="MS" accession="MS:1000253" name="electron multiplier" value=""/>
+          </detector>
+        </componentList>
+        <softwareRef ref="Xcalibur"/>
+      </instrumentConfiguration>
+    </instrumentConfigurationList>
+    <dataProcessingList count="1">
+      <dataProcessing id="pwiz_Reader_Thermo_conversion">
+        <processingMethod order="0" softwareRef="pwiz">
+          <cvParam cvRef="MS" accession="MS:1000544" name="Conversion to mzML" value=""/>
+        </processingMethod>
+      </dataProcessing>
+    </dataProcessingList>
+    <run id="sliced-raw" defaultInstrumentConfigurationRef="IC1" startTimeStamp="2017-07-11T14:55:52Z" defaultSourceFileRef="RAW1">
+      <spectrumList count="100" defaultDataProcessingRef="pwiz_Reader_Thermo_conversion">
+        <spectrum index="0" id="controllerType=0 controllerNumber=1 scan=1" defaultArrayLength="8156">
+          <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/>
+          <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/>
+          <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/>
+          <cvParam cvRef="MS" accession="MS:1000128" name="profile spectrum" value=""/>
+          <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="876.897033691406" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
+          <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="9.2755416e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/>
+          <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="1.038757888e09"/>
+          <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="600.288660915736" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
+          <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="699.908336949267" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
+          <cvParam cvRef="MS" accession="MS:1000796" name="spectrum title" value="sliced-raw.1.1. File:&quot;sliced-raw.raw&quot;, NativeID:&quot;controllerType=0 controllerNumber=1 scan=1&quot;"/>
+          <scanList count="1">
+            <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/>
+            <scan>
+              <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="93.90167" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
+              <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [300.00-1500.00]"/>
+              <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/>
+              <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.95366102457" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/>
+              <scanWindowList count="1">
+                <scanWindow>
+                  <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="300.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
+                  <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1500.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
+                </scanWindow>
+              </scanWindowList>
+            </scan>
+          </scanList>
+          <binaryDataArrayList count="2">
+            <binaryDataArray encodedLength="20356">
+              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
+              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
+              <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
+              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Wff/elrjZWvQlMEs5TAFvaxBH6aznYTeqTGsX2p8xzGK+6fGA7zOTHaRPMCZpCPj2ch5A1PjClownO/5j5JB5pM3mMVuUgabT94cqs/sIXWYPtOZCWyi3HBzxnOMYDknqP6eOWP7JPFOljPtGMN6zp6ivzRjCN9whMKpqXE/r/EVO0maZobowFg2cO701LicZxjGd3RdmRqfs5nyq5xlXuADfuQUF61OjUd4h/n8Q+aa1OjOl/xOhbWpcR0v8RErOWNdalzM4/RjIfvJWe+s8TKT2ULlDc4qXf5Ijc/4hfO3iIfneZ8fOMlFW8XD28yj58HUmMQfVDqUGjfQik9YTZnD7j2eZACLKayYFvfzGl+xk+RKaXEbHRnPRs6rnBZX8CzvsYwTVK+SFg/Tl7n8RXrVtLibbkzkVy5MSItreZGPWEGpxLSoxXuF1uME1YusR1/m8hfpxdajGxP5jQtLrMdLfMSIi9PiB05S45K0eIS3mcc/ZNZOi3vowZf8TsU6aXE9LfmEVZSumxa1eZIBLOYgeZemRSNeYTrbSaiXFrew76q0yLk6LerzMlPYSuVr0iJow0jWcta1aVGXpgzmG45QeF1adKmfFp+zmfIN0uIaXuBDfuI0tRqmxWP0YyH7yGlkb3oxha1UaWxv2jKKtZRtkhYPtEmL15nFblLbpsUddOYzfqF8u7S4mhf4gGoD0+Ih+jKHv0gfpCd04wt+o8LgtLiOlnzMKkoPUU8u/SAtmjGEbzlG8Ydp8SBvMJs9pH2UFnfSlc+5d0xa9GQyW6g8Ni1upA0jWctZ46xPM4bwLUcpHi9f3mAWe0ibYH26snWy9aaoE20YxTrKTk2LejRjKN9yjJJp4uVNZrOXtOlpcRfdmMhvXDhDHXiJhXP0iJy5adGAXkzlT6rOS4ubaccY1nPO/LS4nGcYzvccp/oC54K3WLNSzqvkTFOG8C1HKV4tZ95gNntIWyNGujKR37hwrRh5iY9ZRel1esVTDGQJhylYnxZNeJXqW8TBW8zjbzK36hM9mMQWKv2pT7RhJNfvTItWfMJqztyVFnV4msEs5QhFu91HvE7SgbS4lY6MZyPlDqbFVTzH+/zIaWoeci7ox0L2k3tYzenNNLaRcMSZZW/F9EirlB530Y0v+I0KldPjelrxCas5s0p61GVvfnqkF/iGbnzB71Qs9A2t+JQ1nFnkG5ry3lXpsZyTXHR1ejzKOyxgHznXpEcDejGVbSRcmx630IGx/Mx516XHlTzH+/zAKWpenx6P0Y+vaXZfegzlO45RUj89HqIvc/mbzAbpcS89mEQ0TI+2jGYdZzdKj8t4huEs4wQ1GqfH/3ib+fzLn03So+r96XEz7RnLz5z3QHpcwbOM4AdOUfNB8dKPhewn96H0+K9pelRrlh4P8xbz+Ies5ulxHy8zma1UeSY9bqId73dOjx85Ta0u6fE4/VnEQfK7pvstlR6v8hW7SOmWHnfQhc/YzAXd0+OvnumR8XJ63E13vuQPKvVKjxtpwyjWcXZvNWJ5P73lov56y7ssZD+5A9KjIa8wnR0kDUyP2+jEBH6h/KD0uIYX+YiVlB6cHrV5ikEs5e6h4uJL/qDSMHHRhlGs4+zh4uIZhrOME9R4Lz2uGpMez/MBP1FqbHpczBMMYDGHKBiXHk14jZnspuLU9LiB1oxkLWWnpUc9mjOM7zlO9enmhHdYwD5yZshppZx4ikEs5QjFq9LjQd5kDn+RsTo97qEHk9hC5TX6TjvGsIFz15oznmUEP3CKWuvMAv1ZxEEmbnDOqfCzM0srPmUtZTfKheYM43uOU32Tmm9Xc/6g0g41pw2jWMc5O9PjclrwHss5yUW7zDrl9+kvL/ExqyizPz3q8DSD+ZZjlBxwXunLXP4h66AzwMtM4U8SDrkj6MA4NlLusB7zAh+ygjOOpMclPHnk/++zjDirSkZcSjOG8h3HqV41I/7H28xnHzkJGdGA3kxnB0mJGXEbnfiMzSQVZMTtdOYzNnNhYUZcR0s+YQ1nFdmbZgzje/LqZERjXuUrdpFaNyPupCsT+Z2Kl2bEDbRhFOs4u15GXE4L3uMHTlHzsox4jP4s4iD5l2dEE15jJntoe2VGjGY9516VEVfwLO/zI6e5+OqMeIIBLOYwhddkxP28wWz2MupeMXH2fWKiBe/xA6eoWT8jHqc/izhIQQMx8Rqz2ENaw4y4m+58yRYqN8qIoB1j2MB5jTPiSp7jA36iVJOMuIQnGcRSjlB8f0Y8yJvM5W8yH8iI++j4YEaMZxPlH8qIa3iRj1lFmYczoi5NGcJ3/Md5Te3P83zAT5zRzP48ySCWcoTi5vanL3P5m6xn7M/LTGUbiS0y4lY6MoFfKP9sRlzLS5xumRG1WukHA1jCYQpbZ8QDvMEc/iKjTUbcS0+m8CdV22bELXRgPJs4v52ceZGPWMWoznrJOV30khaM4AdOU6urXjKAxRymsJsYeIPZ/EVGd/V7Wf1oylC+4z+q93LeeIcF7Ce3d0Y0pA8zqNxP32nHGH7mvP4ZcRXP8wErOGNARtTmKQbzDccoGZjht3tGvMU8/iV7kDNNb6azg6TBzi+d+ZxfqTDE7H0shk8y4ibaMZafKfepGHiBD1lB6ZFi4GkG03B0RrzCDHaSMiYj7qArE/mdimMz/J53phnNev6aZDYn6x0vM4VtJEwxG3RkAr9wwVSzQUs+YQ3p85wfejCJrVSZnxE3055xbOT8BRlxNS/yEZNWyJcqK+VLe8aykfNXeZcX+YhVlFmtr3zPcWqsyYhHeJevOUD+WncbrzGTPaStEx89uPe4HJnKNhJPyJFOfMZmLjyZEdfTipGso06lzGjKEL7jONUrZ8YjvMtCDpBfJTMa8xqz2EN61cy4h55M5k8SEjLjFjoygV+4IDEzrqMln7KWskmZcRktGMH+wszIK7IHrzKTPaQXZ/o/e2b0YDJbqVpiDzoynl+45pLMeImPWc1ZtTOjHs0ZznJOUrNOZjzOABZzmKK6mfEgbzKXf8i+NDPq05vp7CS5XmbcQVe+4HcqXZYZQTvGcN/VmdGLaewg6ZrMuJ0uTOR3Kl6bGTfSljFs4LzrMuMq7qvve6axg+QGvqcLE/mdSg19T1vG8DPlGvmeF/iIVZzZODPq0oxhLOMkFzXJjMfoz2IOU3h/ZjzAm8zlH7IeUAPuaa7+TOZPEp7JjFvpxGds5sIWmXE9rRnF8NZqzklqtlFzBrCEIxS3zYyH6Ms8/iWnXWY0pA9fsYvU9plxF92ZxFaqdsiMm+nAeM58OTMupTnDWc4pavWyLwNYwhGKe9uXt5hP2X7mkBaM4EdK9c+MS3iKwXzLMaoNyIz/8Q4LOUD+wMxowuvM5i8yB2XGvbzMVLaTNFgf6cJEfqfSELNDO8byM5d+LA+Gs5xT1PokM55gIEs5SsmnmfEwbzOffeSOzIxGvMpM9pA+Sv84c5y1ac5wlnOKWuOtzUCWcpSSCdbmbRawj9zPrM2rzGQP6Z9bm54Mn2RNTlFrsjUZyFKOUjLFmrzNAvaTN9V55zVmsZeMaWrHy0xlO0nT1Y4uTOR3Ks1QO9oxlo3kz9ELXmc2f5E515miF9PYQfI855iufMEZX2dGbZ5mCN9xnBqLMuNR+rGIQxQudk54k7n8Q/aSzGjA2pWZcfaqzLicZ3mfnzhjtfV5miF8x3FqrLE+/VjEIQrXWp83mcs/ZK+zPq8wg12krXcv0oPJ/EnCBueSTnzGr1T4OTNuoA2j2UDv39xp7CTl98y4k258yRaq/OF80YHx/MIFW9zhtGIk6zl3a2ZcyfN8yErK/OnOoRnDWMZJam5zFtmxU/13qT9d+YI/qLw7M26iPePYRPk99qQVI/liv3epfMC7tGccmyh/MDOupRUjWcc5hzLjCp7jA1ZQ+nBm1KEpw1jGSWoeER8DWMIRrjwlNz5kJWVOy41mDGM5p6hVKiueYCBLOcrQSlnxPSepWTkrHmcASzhCcZWseJi3WcB+8qpmRWNeYzZ/kZmQFffRi2nsJCUxK+6kG/8WZUVOcVY0pA9fsZv0kqy4h55MYRtJ1bLidrrQs05WTGU7SXU9pwtf8AeVL82Km2jPeH7hgnpZcR2tGcV6MhuIj15MZycpDcVHdyaxlaqNsuJWOvEZv1KxcVbcSFvGspHzm2TFNbTkU5q0zvJbPMtv8az4m+w2WdGAV/iK3aS1lSs9mcJ2ktrJia58wR9UaZ8VN9OBCazplxVn98+Ky3mOD1hBmQFZUZdmDGc5p7l4YFY8yWC+5Tg1BmXFo/RnMUcoHpwV1T7Jikd4l0UcovDTrHiQvsxnH3kj9ZzXmM1fZI3KivqT5cgMdpM2RY70ZCrbSZqaFXfQlS/ZQtVpWXELiV9nxW10YSJ/UHmR/OnABDZTYXFW3EBbxrCR85dkxbV8vCYrVlN2bVZcxrO8zwpKr1MjmjOcHzjNU+uzYgjfcYKLNph9BrCUo1T7OSv+x7t8zSEKN6oNfZnPPvI2qQ2vM5u/WXYoK05R67BeMIhv+Y8aR7LiMfqzhCOUHHXOeIevOUjhMXlUzY4VlE7Ijro0Yzg/cJpLErPjaYbwPSeomZQdTzCQb/iP6snZ8Sj9WcwRilOy42HeoVRxdtTmaYayjJPUKsmOJxnEtxynRrXseIwBTKibHb9S4dLsuJF2jGUTF9TLdg6zncPsGM3PlLssO66hJZ+yjnMvz446V2VHU4axnNNcfHV2PMUQvuMENa/JjscZyJD6cuYENRvImYF8w3/UaChn+rOEo5Q0yo7/8S6LOERR4+x4iLdZwAEKmmTHA7zJPPaRd392NOYfsh/Ijoa8yiz2kvlgdtTnFWawm/SHsuNe7mibHd2YxJ8ktsuO2+jCF2yhavvsuIVOfM7vVO6Q7TdkdjzTIztG8BNn9FQvmjGcHzjNJS/rH0NZxq39s6MzE/mDKgOsT0c+4zcqDcyOm+jABH6lwiC9pB3j+IULB2fHDbRhDBspP0R/ac1oNlBuqP7SkpGs5/ZJ2dGVL9lKwmS504Uv2EKVKWKjE5/zO5Wnyp2OfMZvVJomXtozns1UmC5e2jGOGavVnvQ1ak8vprOLtLXZcQ8vM42dpK7L9v/T7OjJVHaQsj477mLNruw4e3d2XMHzfMRqyu7Jjst5jg9ZxVl7s+MyTh0wuwfNLkNYxikuPuQZQ/iek9Q67HwxmO84Qc0jYquaEztJTciJu+nJVHaQkpgTd9GDqewgJckzejCF7dxYNyfaMY5fuPDSnLiBdozjFy6s5xltGcsvtLkhJ8awkfI35sR1tGEMGykfntGaMWyk/E2e0bp+ToxmI+UbeEZrxrCR8g09ozVj2Ej5Rp7RmjFspHxjz2jDGDZSvolntGEMGyl/f05cTxvGsJHyD3hGG8awkQsezIk/2uRElbY5cQudmcgfVGmXE7fSmYlsoWp7z+jMF2yhaoecuI0ufMEWEjp6Rhe+YCsJnXLijm450Y3JbCOpe07cSXcms43kHp7RnSlsJ7lnTsztnxP/kjsgJ5rwBnPZR95Az3iTeewjf1BO3M+bzGc/+YNz4gH6Mp8DFAzxjLdYwAEKh+bEg7zFQg5SOCwnHuJtFnKIouE5cc6knLiSF/iEtZwzOSeu4kU+ZR3nTsmJq3mJkaznvKk5cQ0tGcUGyk3LiWtpxSh+5vzpekxrRrOR8jP0kzaMYRMXfGVuacuA1TnxDf9x0ZqceJyBfMtxaq7NiScYzHecpNa6nHiKIXzPKS5enxNPM5TlnKb2Bn3faRbowhdsJWFXTtxOVybxJ0m79Z3uTGY7efv1izeZx37yD+gDfVnAAQoP6gNvs5BDFB3KiYd5h0UcpuRwTvyPfizmKNWO5MSj9Gcpx6hxVB0YyLccp+YxdWAwI07mxArKnMqJerTgA1Zy1umcuIzn+JDVlC2VGw9Uyo23WMBBiirnxkO8w9ccprhKbvyPfizmKNWq5saj9Gcp/1EjITceZyDfcpyaibnxJIP5npNcnJQbTzGU5ZymdnJuNOXpSzxnOaVqe04z3uNHStfJjbo8w/us4My6uXEZz/Ihqyh7aW5cwfN8zFrOqZcbV/ESn7Ke8y7L9dslNzrVz43P+YOqDXLjNrrwJX+S2DA37qA7k9lOSqPcuIueTGMnaY1z4156M4M9ZDbJjfr0YRYJzXPjdroxiW0kP5Mbd9KDqewktUVu3EMvZrCbi1upEUNZTqnWakQz3uMnSrfJjUtpwQes5Ky2uXE5z/MRazinnXrwIp+ynnLt1YNWjGYj5TvkxvW0Jb+/maEvCzhI0YDceJh3WMQRqg00H/RnKf9x0aDceIJBfMdJLh4sH4axnFJDcqMOzRlBv6lmjqNUn5YbjzGQbzlBzenmiyEs4zS1Z6gHMSc3OjCB36g8NzduoTNfsJXEefpKNyaznZT5uXE3L7NwZW4coniVM0A/lnCMGqvFw0C+5QS11phthrKcUmvlQ3NGsIIbd+RGeybwG5V3iotOTGQLCbvMCN2YzHY+3m+OOfdAblxNS0bxM+UP6hFtGcdmKh7KjZvoyOf8QdXDZpuuTGIbyUfMMT2Zxi7Sj+bGfQw6oVec5OKTesUwfuCMU84iz/A+KznrtDnjeXpVzIsZ7CGzUl404FVm8w+5lfOiCW8ynwMUVsmLh3iHRRyhWtU8d01eDOAbjlMrIS+eYijLKZWYF3VozghWcGZSXlxGu0vyYjy/Uql2XtxMJyayhcQ6eXEH3ZnCDlLr5sU99GIGe8i6NC8a8hpz+Je8enlxP31ZwCGKL8uLqtfmxW10ZRLbSL4uL+6iJ9PZTcb1eVGfPlzbIM/vqjy/q/JiExc2zIsb6cBn/E6VRnlxK12YxDaSG1uXnkxjNxlNrEsfZvE3uferN2/SsnlejGYjFzyTFzfQjgn8RuUWeXELnfmSP0l6Ni/upAcV26gjnZjIFhLbqiPdmcIO0trlxb305iv+Irt9XjTideayn4IOefEgb7OII1zZJS9e5FPWc37XvLiONoxlMxW75cVNdORztpDQPS9upxtT2EFqD/2kN1+xl6ye4uB15rKPgpfFQdIAudKDqewifWBe3McrzOJvcgapKW8ynwMUDc6Lh3mXJRyjxpC8eJzBfM8pag/Ni2a8x0+cOcy88hwfs5Zzh+fFNbRiNBu58D1zQXs+43eqjDAXdKXJWPEwn4MUjRMP/VjCMS4anxdPMJjvOU3tCeJhBL2/VCf2kj1JnXideeynYLJzyjss4ijVp+TFYwziO05yydS8aMpwfqLMtLyox3N8xBrOnZ4XV9OK0WzkwhlypD2f8TtVvnKm6MoktpMyMy/uphcz2EPWLOeU4XPz4kfKzLMnz/IRazhnvj1pySg2csECe9KeCfxOlYV6sUIvOG+lXtCKMWyiwqq8CDrwOX+QsNr80Y0p7CBtjXNAb2byFzlr86IxbzCfAxSt0yveZQnHuGi9XjGYZZymzgZ3HSNYyVk/58UVvMCnrKfcRueFNny/08xRe5ceM4IVnLU7Ly7neT5hHeX2uItow1jW7FevA+pFS0azkQsPqhcd+Iw/qHpIj2h8xAwyn4MUHZUX/VjCf1x0LC+eZAjLKfVfXtTlGe4+pafMYC9Zp80grzOP/RSUyo+HeIfFHKXGGfnxOINpXjo/RrCSs8rkxxW8wKes5/wz8+M62jKOX6l0Vn7cQme+JL9CfjzI2yziCNUr5sdjDOI7TnFJpfxoxnus4PLK9uIT1lOuir1owzg2U6lqftxMZ77gT5IS8uMuVubkR9nc/LiSFxnJBsrn5cf1tGM8v1ElPz9upSuT2E6vgvz4ir/ILsyPxrzBfA5QVJQfD9OPpfxHzeL8+PiS/FjLebXz4xpaM5ZfqFgnP26iE1+wlaS6+XEnPZnGLzfkR4UbvUdHJrKVxPAePZjGbjJuyo8GvMocvqivBiQ3UANeZgZ7yGqYHw15nXnsp7CRHHiXJfRtkR8LOETJs/nxKAP4lpNc/Fx+NOU9fuLM5/WJ5/mExi3z400WcIjiVvnxCAP4hhNc3Do/nmY4P3Fmm/y4jOf5hHWUa6vXtGEcv1K5nbmiC5NY0N0eFPewBwP4lhNc3FOcDOcnznxZnDzPJ6zn/F72oC3j+ZXKvc0BXZnEdlJfyY976U37fvnxGX+Q0D8/bqc7U9lF+oD8qM+rzOFf8geaf95hEUepMSjf73hnjGWUGpwfdWnBB6zmnCH5cTUtGc0mKgzNj+C+MfnRh9n8S/7Y/HiAt1nEUWqMc44ZzDJKjbcHz/ABqzlngj1oyWg2UeEzs0dHJrKVpM/NEz35ZJIeUW6y+tGW8fxK5SnqR1cms4PUqerHK8ziH3Kn5cf9vMXXHKH6dHcCg/ie09SZ4WzNyY/j1JprbhjGj5SZZ254nk9YR7n5YqIt4/mNygvERFcms4O0hWrIK3y00nnlvFX5cS1tGMevVFpt5ujCJLaTukY+vMJM/iZ3rXx4i685QvV16s8gvuc0ddarPx+wmnM25MdVtGTfjvwo2Ok+5l2WcIyLduXHkwzlB0rvzo96PMfHrKPcHnnTlnH8SuW98qYrk/nnQH7kHRQnb/E1R6h+SJwMZhmlDpsTWvAhazj3iLuM1ozlFyoedffSmS/ZRsqx/LiHc06aK1oxhl+oeMr7dOZLtpFy2vv0ZiZ/k1uqIO7nLRZymNWlC+KcMgVxNa0Ywy9UPLMgbqYzX7KNlLMK4h56M5N/KhZEXqWCeIC3WcRRalQuiCcYwnLOqFIQl/IsH7GW86oWxLW0YRy/UjmhIG6lK5PZQVpiQdxHH2bzL/lJBfEg77CYY+zKKYiM3IJowGvM5QBFeQXxP/rzDSe4OL8gmvIeKxh2aUH8SJl6BXEZz/MJ6zn/soK4nnZM4HeqXl4QtxPXFERHJrKVpGsL4m568RV/kXNdQTShLws5zJobCuLcGwviGlozls1UioK4ha5MZgdpN8mfdQ0KolzDgriOdkzgd6o2EgvdmcouMhoXRENeZx4HKGqiDvTnG07yU+sC/0YUxOW8wKf8zAVtC+JGOvA5W0lqVxB38TIz2EtOe7nRl4UcpnqHgnicwSxjVbeCOLt7QVxFS0bzCxV7mC868yXbSe1ZEPdSdmBBXMlLjGYTFQYVxE104ku2kTLYPPIKs/iHvCFmg3dYzDFqDi2IpxjGj5w5TM6snGyvKWKjJaP5hYpTxUYXJrGd1Gn6QB9ms4+C6QXxEP1YynFqzTBbvMcKXlntff4lf433eZclHKfW2oJ4mvdYQdl1cuclRrOJCuvFw/c7C+I0dXYVRAs+ZC3n7XaWaMt4fqfqHnNBD6bx6YGC2MAFB/WWDkxkK8mHzC29mMnf5B12rnmHxRyj5hF1ZDg/cdbRgriCUWykwjE9ohNfso3U//SUPszmXwqOqwP9WMoJLj5REM0YweaTzsIpZ4GuTGYn6aedb15jLgcoKlUYjzCA7zhFnTMK4xk+YA0DK/sbp6lTpTBa8CFrOa9qYVxHWybwOwkJhXEHPZnOXrITC6MJffmaI9RIKownGELHlMKYyJ8kpxbGPfRmFv+Qn1YYD/IuSzhOrfTCmF1cGP9SUFIYD9GPpZzg4mqF0YwRrOLs6oVxNcOuLowfOfOawricFxnJRi68tjBuojNfsp3U6wrjPvowh30UXq82reXfRv60ZQJ/kNC2MO7kZWbwF7ntCuN+3mYxf3YtjJRuhXEvrzCbfRR0L4yH6c83nKR2D/3gA9ZwXs/CuJa23DagMLozjT1kDSyMxvRlIUeoMagwnmQoP3LmYHnzIqPYRIUhhXEzXZjEzrGFkTGuMBryOvM5RLXxhfEYg1lO6QmFcRnP8yk/c+FnhTFmTmFspvLcwriVbkxlN1nzCqMRb7KQI9SYbxYYyo+cuaAwruBFRrGJigsL4xa6MJmdZHwtRl5nPoeotqgwHmcwy5m5ygyRv9qM0I9vOMklawqjOR+whvPW6idtmUDiusK4i158xd/krTeLvMtSjnPxBrPG+6zm3J/1iEU7CuMYNXcWxtMMZwVldxXGVbRiLL9SZbd+0p1p7OHrA4VxlIsOFsZTDGcFZQ/5nlaMZTOVD/ue7kxjD9lHnDveYhFHueiotRjOCsoes9b/O2k9xvIrVU4Vxu30YDp7yT5tPd5iEce4u1JR9GYW/1JQuSgeoh/fcJLaVYriGT5kLeWqFsX1tOdztpKcUBT38Aqz2UdhYlH8jwF8x4e1fU+5Or6nAxP5k5S6RXEvfZjDfoouLYpHGMj3lKpXFJfyHJ+wgQsuK4qgE1+ynQvu8IxOfMl20u4sivq8xjz2U3RXUTzKIBbcWxSHqX5fUTzBUH7kzPpFcQUvMZpfqNSgKG6jO3vIblgUTXiLRRyjZqOieJr3WMk5jYviGtownt9JaFIUd/IyX/E3efcXxYP04xtOUvsBtWMt5R5UO9rzOX+S8pDa0Yc57KfoYbVjIPNaFMVBSp4tiscYzHJKP1cUl/ECo9hExeeL4haufqkoWjOO36jasiju4GW+4m/yWomVd1nKSda2FmMbMdKeifxJSlsx0oc57Ke4nfoziGWc0b4o6vE8I9lIhQ5FcTNdmMwuMjsWRSNOdC2KS7oVRXM+ZC3lutub9nzOn6T0sDd9mMN+insWRf8BRfEtp6k7sCie5WPWc8EgM0QnvmQ76YOLogGvM59DVB9iXhjKj5w1tCiupCVj2EyVYUVxOz2Yzl5yhxfFA7zDEo5zyXv2GFsUDXmDBRymxriieJJh/MRZ44viKloxll+pOkF/6MkMNk8qisqTzSndmc5ecqYUxf28wxKOc/FUNeQD1nDeNDWkPZ/zJynT1ZA+zOUAxTP0j8Esp/RX5okXGcUmKs0silvpxlT2kD3LeeEtFvMftWYXRTPeZzXnznGXzNUv9lM0zzwziGWcMd+s8AIj2UjFBWaXrkxhN1kLi6Ixb7GIY9T8uiiaMoJVzF7lvqJotT0YyDLOWGMPnmckG6mw1h50ZQq7yVpnD95iEceotd4ejGA1524oimtpx2dsIflndyavMIf9FG1UUwbx+E5zxY+cuctc0ZIx/EqV3XpOT2bwN3l7nEn68Q0nqbO3KFrwMesp/5fZphNf8tyBIr+Ri+JnKhx03ujCFHaRdUh+9GURx6h5WH6MYDXnHpEf7fiMrSQflR99mMN+io/Jj8Esp/R/RXE5LzKa808VxQ105Au2kXba3c3rzOcQ1UsVxxMM4yf2VS6OoirF8QgDWcYZVYvjMl5gFJuomFDs/9nF0Y1p7CEnsTju5x2WcJxLkoqjOR+ylpHFxbGRiiXFcQvdmMoesqv5nrdZwnEuqe57PmTZJcVRurZYeJFR/EKlOsVxG92Zzl5y6xbHA7zLUk5S+9LiaMFHrKd8veIIOjGJHWRcVhw/XFUcZa4ujit4iTFspso1xXEHPfmKv8m/tjgeoj/fcpq61xXHc1x3X3G053P+JLV+cdzHa8zjENUaqD/D+ImyDYvjKlozjt9JaFQcd9GbWeyjsLEeMZBllG6iLrzIKDY2K44KzdWYrkxlD9nPqDFvs4QTXNKiOJ7hQ9ZR/tniuJFOfMkOMp4rjoa8yUKKWtufQSyndJviuJyXGM1mKrctjtvpyQz+Jr+detGfbznNpe3Vi0/ZSIUO4qYrU9lDdkdx8w5LmN+9OA5TvUdxPMlwVnB2z+K4hjZMYAtJLxfHPbzCHA5Q3Ks4HmMIP3Bm7+K4kpaMpUH/4nidBRyhxoDieIr3WMk5A4vjWtryGVtJHlQc9/IqczlItcH6y1B+ouwQ/aU14/mdxKHFcTe9mc1+ioYVx6MM5gfKDDePtGQMv1L1PblMKo6SycXxOEP5kbOm2IPWjON3Eqfag97MZj8/TLPudOvSkrH8StUZxXEnvZjJvxR+pd8MZBmlZ+o3LzKazVSZpd/05Cv+IX92cRxbURw1VxZHU95nDeVWFcf1dOALtpO+Wt15g4Ucpeaa4niaEazmvLXOFBPZRto63/AGCzjCRet9wwhWce4GZ5H23LuvOPowl4NU268/DGMFZQ8Ux9W0YQJbSD7oO6od8i7DWMHZh71LGyawheQj3uVV5nGQakfNyGkzQkqpkriP15jHIaqfURJPMpyVnFO6JK7lWKWSqFW5JJrxAWs5v0pJ3EgnJrGTzKol0Yi+LOI/Lk4oieZ8yDrKJ5ZE0JnJ7KJ0UUlczouMZjNVikviDl5mJv9SWFISjzCI5ZSpVhJX0JKx/EZC9ZK4i97MZj/FNUriMYbQ+qKSGM8fJNUsibt5hTkcoKRWSTzOUH6i7MUl8XmdEv+nKYnUuiVRn9dZwBEuurQknmYEqzmvXklcz8/XlkSF60riFroxjb3kXl8SD9KPbznNpTeUxPOMZBO7GpZEVqOSaMI7LOUkdRqXxLN8ws9UaGJ9ujGNveTeb3368S2nufQB6/N5a3mQ2qYkGvAGCzlKzbYl0ZT3WUO5diVxA52YxE4y25dEY95iMce5pENJtOBjNnBhx5K4ma5MZQ+T+vuezAG+5y0Wc4LaA33Px2zgwkFyohvT2EvuYDnRn+8oNaQk6vECo9hMlaHmhZeZyb8UDStxd5njseaYdnzONtLGqQFvsJBj1BpvxvmAtVw7xTd8zjbSpvqGN1jIMWpN8w0fsI7y0803nZnCbrJnlMT9vMM3nKLuVyXxHCPZRKWZJXEbPflxSUmctbQkrqINE9hC8jfOLK8xn8Nc9K35o/lqZ4z1XLCmJG6iC1PZQ85aNaQf33KaeuvUkFFspsp6NeRlZrGPlQdK4tyDJXEdHfiC7WQcctbpy2KOc8lhveRjNlDhiF7Sjen8Rf7RkniYAdSsXM2dUs2dUs2dUi3KV6kWQRemsJucqtXiAfrxLaUSqkU9XmA0m6maWC3upBez2U9JUrV4nA+LqsU6yhdXi5vowlT2kFtSLR6kP99Rqlq1uIwXWVCnWhylZl0x8gHrKH+pdejCVP6v4fqOqvI+AzgOjop1K3umDtC87+81ClzUBAX7ZJ6TpJFtqqY1sc2J0cgUFAW0WJIrRhEuRuI4yghiSmRqc1CQJUalKiBNJChijYCSquAo2O8fn/8e7jN/F+jBdD8+B//212TqYk3eRDIq0Q+vJZqsQhYuYnSAJv6IRhG64BKoSVqQJtV4jJeCyYuDaMXEEE1eQyLK0IuZoZq8jww0YUSYJguxAQXohEO4Ju9iB6owABWhyUfIwdgkTQIRj2LcwQvJmoRhF+oxDFOKJp8iFz/Bdpsm7pmahGIn6jAEnyxN1uIofsQ0iyZvIQWn8CvmZLMbZKP4iCb/gcdRciId9RiGby45kYvrsM1jz9iO599QUyF3gDxch90xTd7GdnyPh9CLNFmN/biC3x7XZCkS8B1+wbkSTaxLmR0+QwE64VjG7LADpzEAo1yTNTiAFkyo4B6wGaXoxcxK9oIMnMeIk+z3tCZB+Bw1eIr5ZzT5GIfRjsnVmryBJFTiPrxquB1Y0H1WE7daTUJgRi3+B586TT7BEfyIafXMHClwbtFkGT5HNZ5gXit5cQjXMLmNvEhCBe7D6xp5YcFFeD7SZAUycQGjB7hhxKAIt+A6qEkwzKjFM3g/pjYcwaZpupSgBzNsdVmOPWjCCDtdFiEShbgJZ3td3kMaqvEE8xx0+RiH0Y4pjrq8iWRUoh+znXT5ANloho2zLgHYiGL0zyfGmxhkoxk2PsRgI4pxBx6+uoRhFxrwHH4mXdYjHz/DwU+Xd7EDpzGIuQt0+QsOog2TFuryOraiAvfhtUiXVbCgY5ku9kG6vINUVGEARrAua3AArZgYovMdoMsWlOMePEN1/v/SJQsX8ZswXRYjFt/iNtzDdQlFOuoxDFOELuuQhw7YLyc/UlGFAYyP0kWQiDL0YVa0LiuQiQsYHaOLP2JwHN1wiyUf0lGPYZjiyIc8dMB+I/mQiioMYm48c8NBtGFSAnPDVlRg225d/okH0Pbo8iFycBXjM6gVm1GKXszaS63IxAXk/ItYTLisy6tIRBnuwfMKc0QWLmHMVV2WIA7FWP6QW0UTRj7S5WVEoQi34DqgSwh2og7DMA3SM/IxOFnJS1OU/BWH0I4pU5W8hRScwgNo05SsRg6uYoKtkleRiHLcg5edklWwoBk29koCEI/vcBfTHZQsRwbOY5SjklcQjePohruTkrOzlTyD9xwla3EU12H3opK3kYoqDGKuRv2YMU/J+9iLHzB6vhJ/xOJb3IaHt5IwfIlGWPsoWYhIFOImXHyVBMGMWgzB16RkHfLQAQc/xftS8necQeEyJV1wCVISDDPqMARTMD+LfPwMxxAl7yENn4TSG36CXRi9IRVVGMTccHrDIbRjSgS7QQqS1io5iV/x4qdK/oz9uILx69gPElGOe/Baz36QjWY0xiixiqV/bEAhuuASRw8wow5DMG1Ush756IRjPD3gwyRuAi2YkKzkNWxFBfoxO0XJn7APlzFum5LfYzNK0QfP7UpWwoJLsPmbkkAM7qH/DPrHYbRj6l76xzZ8j4dQmUrW4ADaMClLyRtIxkn8F5qF+0UOWjAhm1qxBRXox1f7qBHjvlIi2Iwy9MFzP7ODBc0Ym0ONSEAJKkvYA+aUsgfsxxWML2MPSEQ57sOrXMkH2IeY09wmbsPjjJJw7MY5jKhW8jKiUIRuuNfQ81V6blHyEQ6gDZNb6RnJOIUH0NrYD75GKyZeU/I6krCyS0kWLsHmFr0gASfQg5ndSlYgExcx5jZvGXF3lRTjDn7Xw1tGBn7AqF7eG2LxD9zBC31KIrAH5+H2SEkodqER1gPcHyJxDLfgNkgM0tEAq8fEIBLm59wkhuFnZch6FOAGnK0NCYIZtRiCaQQxKMANOI00ZBkcphnyB6ShBs/gbWvIWuSiAw52xCANNXgKb3tikIsOODgQgzRU4ym8HYlB/nxDOuHkTU58gVoMweRjyDrkoxNOvsTgC9RiCCYTtaMAN+DsR38wow5DMC0gBulLDGmAVYAhCxGJY+iCa6AhIUhHA6yWEoNInFhmyF3MCDLkj8jERYwJ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+              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
+              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
+              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/>
+              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+              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/>
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+              <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [300.00-1500.00]"/>
+              <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/>
+              <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.942675173283" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/>
+              <scanWindowList count="1">
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+                  <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1500.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
+                </scanWindow>
+              </scanWindowList>
+            </scan>
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+              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
+              <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
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0YCelFstL55gMMs4QvEad4g3mMsfZKxNj7t4kU+pui49bqAD49nE2ev1jVaMYiUnuWhDejzKABZzkPyN6dGY7tvVj1+oskP9aMdYNlBxZ3pcRktGsoKr96XHc7zHGs7Ynx51aMoQvuIYNQ6Yefowj7/IOpge9/AS0/iNhEPuHJ2YyGbOPZweV/IMo1nF6UfS4xIWVsqIfeRUzoiG9GImO0iqkhG30oWP+IkLqmbEtbTmfdZSvlpG1ONJhvE1/1JaPSMe5i0WsI+chIxoQE9msoOkxIy4hef5iJ94pHZG9OMLDpBXJyMa8yqfsYvUuhlxO12ZzFYq18uI62jHWDZwVv2MuIyWjGTjFRlx9pUZcTmteJtvOcXFV2XEYwxkCYcpvDoj7uN15rCXs+6xJy0ZyUpOUuvejHiUASzmIAUNMqIJrzGbPaQ1zIg7uaJZRjzNO3zH6U9mxCU8zmCWcYTi5hnxAH2Yx59ktciIe3iJ6fxOYsuMuJnOTOJHzm+VEdfwHO+zljOfUp8u6kPFF+RCS0axklNc1FUuDGQJhynslhH38zpz+IOM7hlxN9E/Izownu85Z0BGXMnTvMMqTh+YEbV5giF8yTFqDMrwvSEj3mQ+f5M92KzQk5nsIGmImaQLH7OFSkPVdZ66kj5fXXmRT9lGtQUZcSMdmchmzluYEVfxLJ9/lxG7SVvlWbrzKb9SbXVG3EBHJrCZ89Z4lmc5sC4j8tebTV7jc/aQtsFevMinbKPaRnHQ8nczw0pOctF2M8dAlnKYoh36zRvM40/u3ZkRLzOD7STtUgu68DFbqLTb/NOWsTx+KiMGsYyjFJ+WGQ/yJvP5m5zTM6MBvZhFnfKZ0YxhfM2/lFXIjP/Sj0UcIP+szGjMa1SulBnX057xbOKcyplxJU8zmtWUq2J/mjGUr/mX0qr2px+LOEB+NfvzGrPZQ3r1zLiLHkzlNxISMuMmOjOJH7kgMTOupTUfsJ4KSZlxKS0ZxUqeuyQz3mMt5WtnRn2aM4IVnKBWncx4lIEs4TBFdTPjAd5gHn+RXS8z7qUnM9lJcv3MuI2uTGErVS7NjKAD43n5qsyYwQ6Srs6MW3mByWyl8jVqS3vGs4lzrrX+Xvs3sJ4XmMxWqjS0nvaM53vObaQXPMO7rOHMxplRlycZznJOULNJZvyPASzhMIX3Zcb9vME8rmqTGc/yLms4s22m/3eoHSNYwQlqtVM7BrKUIxS3N4P0YT5/k9MhMxryCp+xi9SOmXEH3fmUbazp4ayXnEVzRrCCk1z0srMYyFKOUNzTWbTsr+d8y2kDMuMSnmAIX3GMkoGZ8TB9WcQB8gdlRhN6M4c/yBycGXfzEtPZTtIQfeAFJrOVKkP1mQ5M4HvOHSbu98TNCk5y0fuZ8RiDWMZRanyQGQ/xFgvYR+6YzGjEq3zOHtLHug/0YMSn9uQkF021J4NYxlFqTLMnb7GQ/eRNd8d4jdnsJWOG/HiJ6Wwnaab8eIHJbKXKLPnRgQls5rzP1G2Ous1VN3ozhz/InJcZ9/AyM9hB8nz3g65M4Re+W5QZp3+RGbVpylC+5l/KFmfGI/RnMYcoXGI2eYN5/EX2Uu80bv1OzExmK1VWiZkOTGAz563OjKtpzQes56w1mXEZrXib7zh9rZhoylC+5l/K1omJ/izmEIXrxcQbzOMvsjeIiV7MYhdpGzPjTl5kKr+RsCkzbuZ5PmILlb7PjOtoxzg2cc5md5pneJc1nPmDu0FzRrKSU1z8Y2Y8zmC+5BglP5l3+rKIA+Rv0Tfm8AeZP3un0ZOZ7CRla2bcTjc+4Veq/ZIZN9KJD/mRC371DqYNY9jI2dsy4wqeZjSrOeM37yGeZDjLOUGt391nBnKUGtvNL2+xkP3k7TC/vMZs9pKx0/zyEjPYQfIuc0ZXpvALVXdnxg10ZCI/cP4eMdOGMWTssxcvMZ3tJO23F12Zwi9UPWAvOjKRHzj/YGZcQxvGsIGKhzLjcp7iHVZR7rB/E2nGcJZzglpH5M9AlnKE4qPeZ7zFQvaTd0wNeI3Z7CXjH3eNl7nipHozmtWccUq9eZLhrOAkF52WFY8xiGUcZU65rPiDrDOy4l56MpOdpJyZFbfTjU/ZRvXyWXETnZnEdRWyoh3j2MQ5Z2XFlTzDu6ylfMWsqE8LRrKSU9SqmhWPMpClHKG4WlY8xFssZD951bOiMa8xhz/ITMiKe3iZGewkJVG8dOMTfqV6knjpzCR+4uKCrHicwXzJP5QWZsV/6ccXHKKwKCvu5w3m8Td31cmKHkxnO0l1s+JWXmAKv1C1XlbcQEc+5EcuqJ8V19KWsWzk7Euz4s17smIB+8i9V568xmz2ktlAnrzMTHbSvaF+sI3qjbLiZp7nI7ZQuXFWXE97JrCZ85pkxdW05gMGtFZzjlDcRs15i4UcIL9tVjThdebyJ9ntsqIBvfiM3aS1VxN6MI3tJHVQE7oyhV+o1jErbqQTk1gx0Axw8SC9YAhf8S9lg7PiEQawhCMUD8mKB3mLhewnf6gYeZ2S9/WPfizmEIUfZMUD9GEB+8gbo8a8xhz+4JYv9I/J/ELVxWKlE5P4iUpLzDrtGc+YpVmxgbOXZcUVPM27rKH8l+adloziO07/Kivq0IwJa/SE89dmxTW0YQwbOXud+8MzvMdaKqzPiktpxdusotyGrKhLc0awklNcsjErnmAoX3OcmpvcMwayjKOUfJ8VD9OPLzhE4Wb1og8L2EfeD+pFb+Zw6nc92+4MhvA1x6m5wxkMZBlHKdnpDPox6mBWfMvph7KiNs0YxnJOctFhc8BgvuIfyo5kxf8YwFKOUOOoWaUvX3CQwmNZkXjSzPECU/iFaqfcfTrzEVuofFp2BB14rmp2fMB6KlbLjit4mndZQ/nq2XEpLXmbVZRLyI66PMkIVnKKSxKzoylD+Ybj1ErKjscYxJf8Q2lydjzCAJZwhOKU7HiIviziIIWp2XE/fZjPPvLSsmNL3eyoVC87rqcDE/iBC+pne79ke79kxzi+59xLs+NqWtPsyuwYzgpOcfFV2fEEQ/ma49S6OjseZRBf8g+n7rH2XmsZyjccp1YDuTGIL/mHsoZyYwBLOUqNRtnxMP1YzCGKGmfHg7zFQg5Q0ES+vMF89pF3X3Y0pjdz+Yvs+7OjIa+y6TE5Pi5HWjOGDZz9RHZcybO8xzrOapodl3NpM/3kbVZxxpP6SXNG8i2nN8+O2jRjOCs4yYy22bGT1HbZcQcvMo3tJLfPjtvoxqf8RmKH7Og8MDs+4meqDMqOG+jEJLZQabBe0oGJ/MiFQ7LjOtoxns2cP1R/acs4NnHuMLnz8bTs2ErV6dlxI535iJ+pMsOZdORDfqLSTGfSgYn8yIWzsuPMBdlRn5a8zSrOWJgd9WjBKL7l9EXZUYcn2b02O9LXZcfdvMxMdpG2Pjvu4iVmsJPUDdlxJz2Yzg7e26U/nLVbf3iad1lLhT3ZcRlPMZo1lN+rh6RXyYm7eZmZ7CKtak7cxcvMZBdp1XzGS6RWz4k76cEMdpKa4DN6MJ0dpCTmxB28yHTOb5QT19KW8Wzm/MY+ox3j2cz5TXxGO8azmfPvy4n/0I7xbOb8+31GO8bzS/ucqNYhJ26mC5P5leodfUYXpvAr1TvlxC28wBR+pfGAnOjNPP4md2BONOF15rGPvEE+4w3ms4/8wTlxH2+wgP3kD8mJ++nDAg5QMNRnvMlCDlA4LCce4E0efT8nBvMVx6n1QU48xhC+5jgXjcmJxxnCN5yg4qc5cQXP8D7rqTg1J67kWT5gA2dPy4mreI4xbOSc6TlxNa0ZyybOnZET19CGsXzPeTP1hLaMYzPnz1J/2jGeH7jgs5y4jvZM4Jd5ejJf/enCFH6l+gL15wU+YRsJC3PiVrryKbd/kRPdmcZ2UhabJ15kOjtIXWLueIkZ7CRtaU7sWZYTGV/mxL304jP2kvlVTjTgFWbzB1lf50RDXmXJ6pw4SsmanHiEASzlGKVrc+J/DORL/qHmOn1jEF/xL7XW6xtD+JoTXLQhJ55gKN9wkos35kRThrGCU9TelBPNGMFKqu7IiZt4nsn8QvWd6skLTGEbCbvUjq58ym/kHzBv9GEhByg8aN54i0UcouhQTjxEXxZzmBqHc+Jh+rOEo5QcURMGsIxjFFXNjQfpyxccprhabjxMf5ZwlJLqufEIA1jGP5Ql5MajDOIr/qVWYm48zhC+4e06ubGKM+vmxqW0YjRrqFAvNy7nad5jPRXr58aVPMe1l+VGOybwAxdenhvX0YEP+YnKV+TGDXTiI1KuyY076cEMdpJ2bW7czcvMYg8Z/8mNe3mFz7mlQW68wCf8RmLD3LiN7kxlOymNcuMOejCDnaQ1tjc9mcUeMpvYm6ZtcmMYKzitbW7U5klG8h3l2uVGPVryDqsp3z43LuNp3mUdFTuoCc/yARs5t2Nu3D8gN/qwkIMUDcyNh+jLYo5QMkjfGMAy/qHm4Nx4jMF8zQkuHiJehrOCDcNz4+wRuXEVrRnL95w3Ul9oxwR+pNKo3LiejkziZ6q+nRvfjpfjhNyoSwveZjXlJ8qRp3iXdVT8UI48xxg2cu6k3Ii5esskfqbqvNy4iS5MYRuJ8/WKbkxlOykLzAEvMZPdpC/MjXvoxef8Qfai3GhEb+ZxaLX5X2P+6c9SjlG2Nte7w6zzFce5aF1uPMEwVnDa+tyoQ3NGsYozNuRGfVoxmsmbc+NXEn7IjVvpxlS2k/Kj+aIHM9hF+k9qu0NtmcTPVN2pBjzPZH4lYZf96MZUtpOyWw2YeNBdofIhd4XOfMwvVD9s9unKp/xO8hFx0IMZDD5uTjjBxSfMCcNZyekn9ZcWvM1qyp/SX57mPdZz9ml5cRWtmVU5L/aQWSUvGvAqc/iL3Kp50YQ3WMABCqvlxYP0ZTFHKKme532UFwP5kn+5KCEvnmAYKzgtMS/q0JxRrOLMpLxIrZsXd/Eys9hDVr28aMhrzOVv8urnxX30YSGHuKZBXrRlPD9wYcO8uJ5OfMRWqjXKi5t5gU/5neTGeXEHPZjBbjKa5HlP5MUrtG6eF+PYzAUt8uI6OjCJn6naMi9uoguf8BtJrfKi6XN5MYJvKdc6L+rRitGs5aw2eXEFzzGGTVRulxc38jyT+ZXE9nm+t+dFd6axg7QOeXE3PfmMP8jumBeN6M089lPQKS8e4C0Wc4SSzvpDvb7iYTRrOatfXlzJc4xhE+f3z4v/0J4P2UKVAWKkC1PYRtLAvLidF5nOLtIH5cU99GI2f5Iz2AzxBgs4QNGQvHiIfizlGGVD8+JRhvANJ6k9LC+eZCTfcebwvLiUp3iP9Zw9wvnj8mIn6eOdTy9m8yc5E5zPGyzgIEUTnU9/lnKMmh/mxWMM4Rt6fqLO7CX7U3WmN/PZT8FU94C+LOYopdPy4n+c4JLpedGMEXzHGTPyoj5P8S7rOHume0gbxrGZC2eZYTryEVup9lle3EJXPmU7KZ/nxZ28zCz2kDXbvaE389hHwRzzwFss5gglc8XJIL7iBBfPM7+M4FvOmC9eWrGOigvESmvGspkLFoqVjkxiK9UWuW+sX5UX56zOi6tpw3h+oNKavAg68TG/kLA2L26l57q8+Jw/yFmfF415nQUcoGiDvtGPpRyj5kZ9YwjLOUWdTd4zjGI15b/Pi8t5hg/YyLmb8+Jayu/Oi8t4mvfZwLl7vFtoxwR+ovLevLiB55nMNhL/cAd4kRnsIuNP7xFeYQ5/kfeXdxdvcvxv78Z9as1wvqXcfrWmFaNZR8UD6k1rxrGZCw+qN534iF+ofshs0I2p7CD1sHcFPfmcP8g5op68wQIOUnRUPenPUsqfkR+X8wwfsJHzzsyPa2nPRLZQpXx+3EQX2lXzOT9RpXp+3EgXpvAbSQn5cQc9mMlu7irIj5f5jD/ILsyPxrzOAg5QVJQfD9GfZfxDYSOf0Y+l/EPNxvnxOMNYwelN8qMuLRnNWi5umx9NGcF3nNkuPy7lad5nA+e2lyftmMgWqnaQJy/wKb+T0jE/PuqfH7+QMCA/bqU709lF+sD8uJdXmcvf5A/Kjwfoy2KOUjY43/e+/BjCck4bIm5a8g5rqTg0P66iNeP4gUrD8iPozGS2kTg8P25n6rT82EHq9Py4m17M5i9yZ+THfbzJFxyhdGZ+/I/BfMMp6szKjxa8zRrO+iw/rqQ1Y9nMt/PyvR/UkKd5nw2cu0ANac+H/EzVhflxM12Zyg7SFuXHPfQidZ1Y6cXn/EnuerHyJl9whNIN+fEog/mGU9TZKFbeYS0VN4mV1ozjByp9nx838DxT+I2kzXq0Q4+Yyz4KdubHg/RjKceouctsMYyVlNudH/V5ivfYwLl75Ex7JrKFqnvlTFem0vKwWWQdZx/Jj6tpywR+pPJR94YufMLvpBzLj/En/J7KJ/2eLnzC76Scco/oyef8Se5pBXEfb7KIw5ScXhD/YzDfcIo65QqirGpBPMZQVnB6tYKoRyveZT3nVC+Ia2jHRLZQNaEgbqYrU9lBWmJB3MMrzOFv8pMK4gH6soRj1EwuiMcZxk+X2Ku2vejKVHaQVsdevMIc/ia/rr3oyxKOUbNeQVS4qiCu4DnGspkLry6IoDOT2UbSNQVxBy+ztWFBVG9UELfSnensIqNxQTSkN/M5QFGTgniYAXzJCS65ryCeZBSrqXC/GHiOcbzSWtz8TX6bgniQfizlH2q1LYgnGMF3nNmuIC7jpQ4FMYu95HQsiCb0YRGHKe1UEI8yhOWc1rkg6tKKd1lPhUFi4TnG8QOVBhfEDTzPJ/xOypCCuItezOYv8oaqMX1ZwjFqDRMrw/mWM4eLlWf4gO/5dHpBbCd1hr7xCnPYR8FM+dOfZfzLRbMKohkjWUWFz8TMc4zjByp9Lma68M834lheEE0ZwXeUX1EQl/MsY9nMhSs9w/NM4XdSvpUnvZjN3+R/J0/6cfdav2MOf5O/Trz0Yyn/ctF6ZzOSVVTYIF6eYxw/UGljQdxIFz5hO6mb1INXmMM+/jykzocL4n76soRj1DqizozgO8oflR/PMpbNVDomPw5WKYziqoXxXwbxNaeoU60wWjKa9ZxTvTCupT2T2EpCQmHcRg9mspfsxMJoQh++4AhlSYXxGENZSbnkwriUC1IK43o6M5nfSE4tjLvoyWz+Ij+tMB6gH0v5l4vSC2NAg8L4ihPUblgYzXmHdZzdqDCuoR0fspXqjcXLi8xkL9lNxEsfvuAoZfcVxo+PFUblxwvjJl5gKjtJf6IwGtCb+RykuGlhPMK2JwsjqXlh3ElPPucv8lqIn34s5V8ublkYzRjFWx0KYwnHqNWxMJoyglVU6FQYV9Ca8fxIlc6FcTNdubtbYfRiDvso6F4YDzGALzlB7RcLowXvsI5zeqgN7ZnEVhJeKozb6cEsbhlYGN2ZwR6yBhVGY/qwiCOUDS6MxxnGt5w5pDAu41k6j9RTfiNllJ7Siznso+BtcTKArzhBo/mF8QaLOELZAnPDML7lzIWFcTnPMpYfqLxIj3iBqewk44vCaEhvFnCIksWF8ShDmLS+MH4hcUNh3MHLfMaf5G3UK/qxjH+5eFNhPMnbLP3BZ1z0o/4xijVU/KkwrqYdE/mZ6lvMG0136ierqLCrMK6kDRPYQrXd6k13ZrCHN/cUxmKOUXNvYTzBCFZR4Q970IYJ/ETVP+1Bd3465O+H/Z3uzGAP2UfMOm+ymKPUPGpvWlQrcteL3PWiOLd6UfyHjnzMNpITiuIuejGHfRQmFsXDDORrJicXxW+kpBTF3bzCXPZTlFoU/2UQ33BaWlHU4yneZxMXpDu/tvPrOJ9OTOY3Uurak1eYy36K6tmTQXzDafXtyVO8zwbOu7QorqMTexoURXbDomjCmyzmGLUaFUVTRrKaio2L4mra8SFbSWhSFLfzEp/xJ3n3FcUD9OdLTjD6fjlw7gNyoCMf8xspD8qBV5jLfooekgOD+IbTHi6K+pzbzvN0ZDK/kdLe87zCXPZT3KEoHmEwyzm9o+d5mjFsplKnoriRF5jKLjI7F0Uj3htUFBu5YHBRBM/zCdtJH1IUDejNAg5ROrQoHmMY31J+WFFcQWvG8xPVhhfFrbzITPaSO6Io7qcvDScUxess5DBlE4vicYbzHeU/LIoracMEtlB9UlHcRg/+nVYUF08viua8wzrOmaFedORjfiNlpnrxCvM4wKWfFcWzjOUHqnxeFDfTjensIXu2GeFNlvAPF80piid5m7WcPbcorqUDH/EryfPcEXoxl/0UzddfBrOc0xfoD88whs1UXlgUN9GVaewma1FRNOZNFnOMWl8URTNGsYZ9a+y/1v4MYjmnr7M/TzOGzVRab3+6Mo3dZG2wP2+ymEd36infcuYuPaU149lCtd3qTw9m8Sd5e8w/Nx40W0xjF1mH7E0fFnOMWofFzijWcvaRoriGDnzENpKPqh+vVyqORRyhrHJxPMEIVnNWleK4mnZ8yC8kVi2OO+nJHPZRVK04/ssglnN69eK4lGcYyw9UTij2f4/i6MYM9pCTWBz30Zel/MslScXRnNGs57zk4riOzkxhO2kpxXEvvVnAYUpTi+NxhrOKcrXFwLOM5Ueq1CmOW+jOTPaSW7c47qcfyzhB7XrF0ZJ32cj59YsjeJ7Lryr2f5biGM9PVLu6OG6jB5/xJ/nXFMeDDOArTlH32uK49p7i6MjH/EbqvcVxD68xn0OUNCiOxxjOd1RoWBxX0paJbCWhUXHcQU9ms4/CxnrAIJZTron8eZax/EiV++TPi1RqXhw30ZXp7CG7hX7wFks5ziUti6MFo9lAuXbF/s+jBozjJ6q2L45b6cEs/iS/gxowgK84Rb2OxfEUH7CZSp3EQFems4fszmJgbdfiOKdbcfyHjkzmN1K76z2vsYDDlL6o94xgFWf1MLe83a841nFOf/vQiSn8TtqA4mhAbxZyhLKB5p+RrKbioOK4hvZ8xDaSBxfH3bzKPA5SMkTPGMZ3VBiqZ7TlQ7aSOMy9oSdz2E/R8OJ4hCHcOd3vmMN+imb4HUNYyRkzzR6tmcAWCj/TcwaxnHKf6w3PMo6fqDZbb+jBZ/zFqfl6saA4nuYDNlN5oftJd2awl9xFxfEA/fiSk7ywrDimsZusL4ujCW+xlONc8pV54V02cv7XxXFsVXHUWl0czXibdZy7Rk/oxBS2k75WT3idRRyl1rriaMoo1nLOes/Rkcn8TtoGz/E6CzlCzY2eYxRrSN6nb7zCPA5Ssl/fGM4qKhwojqtoxyR+Jfmg53iVeRyk5JDnGM4qzjrsOdoxiV9JPuI5XiX5hD/zKvM5ROlJM8sIVnHWKTNLez5iG50r14hP2EFGlRrRiDf4gmNcVLVGPMk7rOe8ajXiep7nU3aSWd1z9GEx/3BxQo1ozmg2cH5ijQi6MJVdjCuqET9RrbhG3MZLfM7fFNaoEf9lMCs4o6RGXE5rJvAzCaU14g56Mof9FJfViP8xlI/r1PBds0ak1q0R99KbhRyhZr0a0ZRRrOWc+jXiP9x3dY3oyzJOUOeaGtGK9/meStfWiJvoxgz2cu49NeI6OvMJO8i4V03ow2L+4eIGasJoNrCrYY3IalQjmtCXZZygTmNn8j7fU6mJM+nGDPaSe18N31Vr+K5aI76iQbsa8TqLOEqt9jWiGW+zjnM7iJHn+ZSd//9zgJ9kDqwRjXmTJRyn9qAa0ZL32MSFg8VAN2awl9whYmAAX3Pa0BpRn1Xja0TFCTXiGjrwMb+TNlGcvM4ijnHRh+aLd7hmmvV8zO+kTbee11nEMS6aYT3vsIHzZ5orLl6rtoxmIxesqxE38ALT2UPOevHSn684Rf0NNWLQzhqxnDN2mTFaM5GtJO6uEXfxCvM4ROmeGvE4GYf0mD4s4V8uOaxuvMcmKh1RN7oxkz/IP6pHVUqiVtUSd6vE3Spxt0ri/GolEbzANHaTU70k7qc/X7GhyLrikriBF5jOHnJrlMQDDOBrTispiUt5licblsRoNnBBo5K4ka7MYC95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+              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
+              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/>
+              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+              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/>
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+              <selectedIonList count="1">
+                <selectedIon>
+                  <cvParam cvRef="MS" accession="MS:1000744" name="selected ion m/z" value="562.791870117188" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
+                  <cvParam cvRef="MS" accession="MS:1000041" name="charge state" value="2"/>
+                </selectedIon>
+              </selectedIonList>
+              <activation>
+                <cvParam cvRef="MS" accession="MS:1000422" name="beam-type collision-induced dissociation" value=""/>
+                <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" value="42.0" unitCvRef="UO" unitAccession="UO:0000266" unitName="electronvolt"/>
+              </activation>
+            </precursor>
+          </precursorList>
+          <binaryDataArrayList count="2">
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+              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
+              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
+              <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
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+              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/>
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+        </spectrum>
+        <spectrum index="66" id="controllerType=0 controllerNumber=1 scan=67" defaultArrayLength="6407">
+          <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/>
+          <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/>
+          <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/>
+          <cvParam cvRef="MS" accession="MS:1000128" name="profile spectrum" value=""/>
+          <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="908.946044921875" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
+          <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="4.6295764e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/>
+          <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="1.11906176e09"/>
+          <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="600.319226017354" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
+          <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="699.869858918693" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
+          <cvParam cvRef="MS" accession="MS:1000796" name="spectrum title" value="sliced-raw.67.67. File:&quot;sliced-raw.raw&quot;, NativeID:&quot;controllerType=0 controllerNumber=1 scan=67&quot;"/>
+          <scanList count="1">
+            <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/>
+            <scan>
+              <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="94.27967" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
+              <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [300.00-1500.00]"/>
+              <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/>
+              <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.871342122555" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/>
+              <scanWindowList count="1">
+                <scanWindow>
+                  <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="300.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
+                  <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1500.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
+                </scanWindow>
+              </scanWindowList>
+            </scan>
+          </scanList>
+          <binaryDataArrayList count="2">
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+              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/>
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</binary>
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+              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/>
+              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+                  <cvParam cvRef="MS" accession="MS:1000041" name="charge state" value="2"/>
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+              </selectedIonList>
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+                <cvParam cvRef="MS" accession="MS:1000422" name="beam-type collision-induced dissociation" value=""/>
+                <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" value="42.0" unitCvRef="UO" unitAccession="UO:0000266" unitName="electronvolt"/>
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+          <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/>
+          <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/>
+          <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/>
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+          <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="9.4422432e08"/>
+          <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="600.285882385722" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
+          <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="699.71597850809" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
+          <cvParam cvRef="MS" accession="MS:1000796" name="spectrum title" value="sliced-raw.100.100. File:&quot;sliced-raw.raw&quot;, NativeID:&quot;controllerType=0 controllerNumber=1 scan=100&quot;"/>
+          <scanList count="1">
+            <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/>
+            <scan>
+              <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="94.49917" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
+              <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [300.00-1500.00]"/>
+              <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/>
+              <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.953114628792" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/>
+              <scanWindowList count="1">
+                <scanWindow>
+                  <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="300.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
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+                </scanWindow>
+              </scanWindowList>
+            </scan>
+          </scanList>
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+              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/>
+              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