Mercurial > repos > galaxyp > cardinal_colocalization
comparison macros.xml @ 0:d3ca64dafdef draft
"planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit badc51fcd74ba0c14cd1ae64d5f524291fa11441"
author | galaxyp |
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date | Tue, 22 Feb 2022 20:52:51 +0000 |
parents | |
children | 8ad8061e18c4 |
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1 <macros> | |
2 <token name="@VERSION@">2.10.0</token> | |
3 | |
4 <xml name="requirements"> | |
5 <requirements> | |
6 <requirement type="package" version="@VERSION@">bioconductor-cardinal</requirement> | |
7 <!--requirement type="package" version="3.6.1">r-base</requirement--> | |
8 <yield/> | |
9 </requirements> | |
10 </xml> | |
11 | |
12 <xml name="print_version"> | |
13 <version_command><![CDATA[ | |
14 echo $(R --version | grep version | grep -v GNU)", Cardinal version" $(R --vanilla --slave -e "library(Cardinal); cat(sessionInfo()\$otherPkgs\$Cardinal\$Version)" 2> /dev/null | grep -v -i "WARNING: ") | |
15 ]]></version_command> | |
16 </xml> | |
17 | |
18 <token name="@INPUT_LINKING@"><![CDATA[ | |
19 #if $infile.ext == 'imzml' | |
20 ln -s '${infile.extra_files_path}/imzml' infile.imzML && | |
21 ln -s '${infile.extra_files_path}/ibd' infile.ibd && | |
22 #elif $infile.ext == 'analyze75' | |
23 ln -s '${infile.extra_files_path}/hdr' infile.hdr && | |
24 ln -s '${infile.extra_files_path}/img' infile.img && | |
25 ln -s '${infile.extra_files_path}/t2m' infile.t2m && | |
26 #else | |
27 ln -s $infile infile.RData && | |
28 #end if | |
29 ]]></token> | |
30 | |
31 | |
32 <token name="@READING_MSIDATA@"><![CDATA[ | |
33 ## importing MSI data files | |
34 | |
35 ## read RData files (MSI and other data) independent of filename | |
36 loadRData <- function(fileName){ | |
37 load(fileName) | |
38 get(ls()[ls() != "fileName"]) | |
39 } | |
40 | |
41 #if $infile.ext == 'imzml' | |
42 #if str($processed_cond.processed_file) == "processed": | |
43 msidata <- readImzML('infile', resolution=$processed_cond.accuracy, attach.only=TRUE, units = "$processed_cond.units") | |
44 msidata = collect(msidata, as.matrix=TRUE) ##coercion to continuous | |
45 centroided(msidata) = $centroids | |
46 #else | |
47 msidata <- readImzML('infile', attach.only=TRUE) | |
48 centroided(msidata) = $centroids | |
49 #end if | |
50 #elif $infile.ext == 'analyze75' | |
51 msidata = readAnalyze('infile', attach.only=TRUE) | |
52 centroided(msidata) = $centroids | |
53 #else | |
54 msidata = loadRData('infile.RData') | |
55 #end if | |
56 | |
57 ]]></token> | |
58 | |
59 <token name="@DATA_PROPERTIES@"><![CDATA[ | |
60 ## Number of features (mz) | |
61 maxfeatures = length(features(msidata)) | |
62 ## Range mz | |
63 minmz = round(min(mz(msidata)), digits=2) | |
64 maxmz = round(max(mz(msidata)), digits=2) | |
65 ## Number of spectra (pixels) | |
66 pixelcount = length(pixels(msidata)) | |
67 ## Range x coordinates | |
68 minimumx = min(coord(msidata)[,1]) | |
69 maximumx = max(coord(msidata)[,1]) | |
70 ## Range y coordinates | |
71 minimumy = min(coord(msidata)[,2]) | |
72 maximumy = max(coord(msidata)[,2]) | |
73 | |
74 | |
75 properties = c("Number of m/z features", | |
76 "Range of m/z values", | |
77 "Number of pixels", | |
78 "Range of x coordinates", | |
79 "Range of y coordinates") | |
80 | |
81 values = c(paste0(maxfeatures), | |
82 paste0(minmz, " - ", maxmz), | |
83 paste0(pixelcount), | |
84 paste0(minimumx, " - ", maximumx), | |
85 paste0(minimumy, " - ", maximumy)) | |
86 | |
87 property_df = data.frame(properties, values) | |
88 ]]></token> | |
89 | |
90 <token name="@READING_MSIDATA_FULLY_COMPATIBLE@"><![CDATA[ | |
91 ## importing MSI data files | |
92 | |
93 #if $infile.ext == 'imzml' | |
94 #if str($processed_cond.processed_file) == "processed": | |
95 msidata <- readImzML('infile', resolution=$processed_cond.accuracy, units = "$processed_cond.units", attach.only=TRUE) | |
96 centroided(msidata) = $centroids | |
97 #else | |
98 msidata <- readImzML('infile', attach.only=TRUE) | |
99 centroided(msidata) = $centroids | |
100 #end if | |
101 #elif $infile.ext == 'analyze75' | |
102 msidata = readAnalyze('infile', attach.only=TRUE) | |
103 centroided(msidata) = $centroids | |
104 #else | |
105 ## function to read RData files independent of filename | |
106 loadRData <- function(fileName){ | |
107 load(fileName) | |
108 get(ls()[ls() != "fileName"]) | |
109 } | |
110 msidata = loadRData('infile.RData') | |
111 msidata = as(msidata, "MSImagingExperiment") | |
112 run(msidata) = "infile" | |
113 #end if | |
114 | |
115 ]]></token> | |
116 | |
117 <token name="@DATA_PROPERTIES_INRAM@"><![CDATA[ | |
118 ########################### QC numbers ######################## | |
119 ## including intensity calculations which need data in RAM | |
120 | |
121 int_matrix = as.matrix(spectra(msidata)) ## only load once into RAM, then re-use | |
122 ## Number of NA in spectra matrix | |
123 NAcount = sum(is.na(int_matrix)) | |
124 ## replace NA with zero to calculate data properties based on intensity matrix, no change in msidata | |
125 int_matrix[is.na(int_matrix)] <- 0 | |
126 | |
127 ## Number of features (mz) | |
128 maxfeatures = length(features(msidata)) | |
129 ## Range mz | |
130 minmz = round(min(mz(msidata)), digits=2) | |
131 maxmz = round(max(mz(msidata)), digits=2) | |
132 ## Number of spectra (pixels) | |
133 pixelcount = length(pixels(msidata)) | |
134 ## Range x coordinates | |
135 minimumx = min(coord(msidata)[,1]) | |
136 maximumx = max(coord(msidata)[,1]) | |
137 ## Range y coordinates | |
138 minimumy = min(coord(msidata)[,2]) | |
139 maximumy = max(coord(msidata)[,2]) | |
140 ## Range of intensities | |
141 minint = round(min(int_matrix), digits=2) | |
142 maxint = round(max(int_matrix), digits=2) | |
143 ## Number of intensities > 0, for if conditions | |
144 npeaks= sum(int_matrix>0) | |
145 ## Number of NA in spectra matrix | |
146 infcount = sum(is.infinite(int_matrix)) | |
147 ## Number of duplicated coordinates | |
148 dupl_coord = sum(duplicated(coord(msidata))) | |
149 properties = c("Number of m/z features", | |
150 "Range of m/z values", | |
151 "Number of pixels", | |
152 "Range of x coordinates", | |
153 "Range of y coordinates", | |
154 "Range of intensities", | |
155 "Number of NA intensities", | |
156 "Number of Inf intensities", | |
157 "Number of duplicated coordinates") | |
158 | |
159 values = c(paste0(maxfeatures), | |
160 paste0(minmz, " - ", maxmz), | |
161 paste0(pixelcount), | |
162 paste0(minimumx, " - ", maximumx), | |
163 paste0(minimumy, " - ", maximumy), | |
164 paste0(minint, " - ", maxint), | |
165 paste0(NAcount), | |
166 paste0(infcount), | |
167 paste0(dupl_coord)) | |
168 | |
169 property_df = data.frame(properties, values) | |
170 ]]></token> | |
171 | |
172 <token name="@CARDINAL_DESCRIPTION@"><![CDATA[ | |
173 Cardinal is an R package that implements statistical & computational tools for analyzing mass spectrometry imaging datasets. | |
174 `More information on Cardinal <http://cardinalmsi.org/>`_ | |
175 ]]></token> | |
176 <token name="@MSIDATA_INPUT_DESCRIPTION@"><![CDATA[ | |
177 **Input data** | |
178 | |
179 - MSI data: 3 types of input data can be used: | |
180 | |
181 - imzml file (upload imzml and ibd file via the "composite" function) `Introduction to the imzml format <https://ms-imaging.org/imzml/>`_ | |
182 - Analyze7.5 (upload hdr, img and t2m file via the "composite" function) | |
183 - Cardinal "MSImageSet" or "MSImagingExperiment" saved as .RData | |
184 ]]></token> | |
185 <token name="@MZ_TABULAR_INPUT_DESCRIPTION@"><![CDATA[ | |
186 - Optional tabular file with m/z values: | |
187 | |
188 - One column with numeric m/z values (without empty fields or letters) | |
189 - The file is allowed to have any column names as header (in this case set "Tabular file contains a header line" to yes) | |
190 - m/z features outside the m/z range of the input file are ignored | |
191 | |
192 | |
193 :: | |
194 | |
195 m/z | |
196 100.0 | |
197 100.01 | |
198 100.02 | |
199 ... | |
200 ... | |
201 | |
202 ]]></token> | |
203 <token name="@MZ_2COLS_TABULAR_INPUT_DESCRIPTION@"><![CDATA[ | |
204 - Tabular file with m/z values: | |
205 | |
206 - One column with numeric m/z values (without empty fields or letters), another column with names for the m/z (m/z column can also be used as name) | |
207 - The file is allowed to have any column names as header (in this case set "Tabular file contains a header line" to yes) | |
208 - m/z features outside the m/z range of the input file are ignored | |
209 | |
210 | |
211 :: | |
212 | |
213 m/z name | |
214 100.0 analyte1 | |
215 100.01 analyte2 | |
216 100.02 analyte3 | |
217 ... | |
218 ... | |
219 | |
220 ]]></token> | |
221 <token name="@SPECTRA_TABULAR_INPUT_DESCRIPTION@"><![CDATA[ | |
222 - Optional file with pixel coordinates and annotation: | |
223 | |
224 - Tabular file: One column with x values, one column with y values and one column with annotations | |
225 - The file is allowed to have any column names as header (in this case set "Tabular file contains a header line" to yes) | |
226 - Pixel with coordinates outside the coordinates of the input file are ignored | |
227 | |
228 | |
229 :: | |
230 | |
231 x_coord y_coord annotation | |
232 1 1 healthy | |
233 2 1 healthy | |
234 3 1 disease | |
235 ... | |
236 ... | |
237 ]]></token> | |
238 | |
239 <xml name="reading_msidata"> | |
240 <param name="infile" type="data" format="imzml,rdata,analyze75" | |
241 label="MSI data" | |
242 help="Input file as imzML (composite upload), Analyze7.5 (composite upload) or Cardinal MSImageSet saved as RData (regular upload)"/> | |
243 <param name="centroids" type="boolean" label="Centroided input" help="Choose Yes if peak detection has already been done." truevalue="TRUE" falsevalue="FALSE"/> | |
244 <conditional name="processed_cond"> | |
245 <param name="processed_file" type="select" label="Processed imzML file" help="Choose no if your input is an Analyze7.5 or continuous imzML file"> | |
246 <option value="no_processed" selected="True">no</option> | |
247 <option value="processed">yes</option> | |
248 </param> | |
249 <when value="no_processed"/> | |
250 <when value="processed"> | |
251 <param name="accuracy" type="float" value="50" label="Mass accuracy to which the m/z values will be binned"/> | |
252 <param name="units" display="radio" type="select" label="Unit of the mass accuracy" help="either m/z or ppm"> | |
253 <option value="mz" >mz</option> | |
254 <option value="ppm" selected="True" >ppm</option> | |
255 </param> | |
256 </when> | |
257 </conditional> | |
258 </xml> | |
259 | |
260 <xml name="pdf_filename"> | |
261 <param name="filename" type="text" value="" label="Title" help="Will appear in the pdf output, if nothing given it will take the dataset name"> | |
262 <sanitizer invalid_char=""> | |
263 <valid initial="string.ascii_letters,string.digits"> | |
264 <add value="_"/> | |
265 <add value=" "/> | |
266 </valid> | |
267 </sanitizer> | |
268 </param> | |
269 </xml> | |
270 | |
271 <xml name="sanitizer_multiple_digits"> | |
272 <sanitizer invalid_char=""> | |
273 <valid initial="string.digits"> | |
274 <add value=":" /> | |
275 <add value="," /> | |
276 </valid> | |
277 </sanitizer> | |
278 </xml> | |
279 | |
280 <xml name="reading_1_column_mz_tabular" token_label="Tabular file with m/z features"> | |
281 <param name="mz_tabular" type="data" format="tabular" label="@LABEL@" help="Only numeric m/z values are allowed"/> | |
282 <param name="feature_column" data_ref="mz_tabular" label="Column with features" type="data_column"/> | |
283 <param name="feature_header" type="boolean" label="Tabular file contains a header line" truevalue="TRUE" falsevalue="FALSE"/> | |
284 </xml> | |
285 | |
286 <xml name="reading_2_column_mz_tabular" token_optional="false"> | |
287 <param name="calibrant_file" type="data" optional="@OPTIONAL@" format="tabular" | |
288 label="m/z of interest (e.g. internal Calibrants)" help="one column with m/z values, optional second column with names (m/z values can also be selected as name)"/> | |
289 <param name="mz_column" data_ref="calibrant_file" optional="@OPTIONAL@" label="Column with m/z values" type="data_column"/> | |
290 <param name="name_column" data_ref="calibrant_file" optional="@OPTIONAL@" label="Column with name of m/z values" type="data_column"/> | |
291 <param name="calibrant_header" type="boolean" optional="@OPTIONAL@" label="Tabular file contains a header line" truevalue="TRUE" falsevalue="FALSE"/> | |
292 </xml> | |
293 | |
294 <xml name="reading_pixel_annotations"> | |
295 <param name="annotation_file" type="data" format="tabular" label="Tabular file with pixel coordinates and annotation" | |
296 help="Tabular file with three columns: x values, y values and pixel annotations"/> | |
297 <param name="column_x" data_ref="annotation_file" label="Column with x values" type="data_column"/> | |
298 <param name="column_y" data_ref="annotation_file" label="Column with y values" type="data_column"/> | |
299 <param name="column_names" data_ref="annotation_file" label="Column with pixel annotations" type="data_column"/> | |
300 <param name="tabular_header" type="boolean" label="Tabular file contains a header line" truevalue="TRUE" falsevalue="FALSE"/> | |
301 </xml> | |
302 | |
303 <xml name="citations"> | |
304 <citations> | |
305 <citation type="doi">10.1093/bioinformatics/btv146</citation> | |
306 <citation type="doi">10.1093/gigascience/giz143</citation> | |
307 </citations> | |
308 </xml> | |
309 <xml name="infile_analyze75"> | |
310 <param name="infile" value="" ftype="analyze75"> | |
311 <composite_data value="Analyze75.hdr"/> | |
312 <composite_data value="Analyze75.img"/> | |
313 <composite_data value="Analyze75.t2m"/> | |
314 </param> | |
315 </xml> | |
316 <xml name="infile_imzml"> | |
317 <param name="infile" value="" ftype="imzml"> | |
318 <composite_data value="Example_Continuous.imzML"/> | |
319 <composite_data value="Example_Continuous.ibd"/> | |
320 </param> | |
321 </xml> | |
322 <xml name="processed_infile_imzml"> | |
323 <param name="infile" value="" ftype="imzml"> | |
324 <composite_data value="Example_Processed.imzML"/> | |
325 <composite_data value="Example_Processed.ibd"/> | |
326 </param> | |
327 </xml> | |
328 </macros> |