# HG changeset patch
# User wolma
# Date 1513586347 18000
# Node ID 1425ea79402615b4ca5624c4f9d7fa91ba6270f7
# Parent aa82b2e54055862e26a35e45cb00e28576fc26f8
planemo upload for repository https://github.com/wm75/mimodd_galaxy_wrappers commit 24cc567ad105450d1c554f09a3467eff671d9864
diff -r aa82b2e54055 -r 1425ea794026 cloudmap.xml
--- a/cloudmap.xml Sat Nov 11 18:19:22 2017 -0500
+++ b/cloudmap.xml Mon Dec 18 03:39:07 2017 -0500
@@ -18,8 +18,8 @@
-
+
@@ -44,8 +44,8 @@
-
+
@@ -54,13 +54,13 @@
-
-
@@ -84,8 +84,8 @@
-
+
@@ -107,14 +107,16 @@
-
+
+
+ not value or all(c.isdigit() or c in 'KMb' for c in value)
+
-
-
+
@@ -130,16 +132,13 @@
-
-
+
+
-
-
-
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@@ -148,15 +147,15 @@
-
-
+
-
@@ -208,7 +207,7 @@
+
+ help="the sample that provides variants present in your original mutant strain or in an ancestor (like the pre-mutagenesis strain); leave blank if not available">
+
+
+ help="the sample that provides variants present in the unrelated mapping strain (or in an ancestor of it) used in the mapping cross; leave blank if not available">
+
+
@@ -364,11 +362,13 @@
label="mapping sample name"
help="the sample to perform mutation mapping for">
+
+ 0.1.80.1.8
- 0.1.8_0
+ 0.1.8_1`__
+- The complete `MiModD User Guide `__
- The `MiModD help forum `__ reachable also via `email `__
@@ -41,6 +41,34 @@
+
+ not value or (len(value.split('-')) == 3 and all(part.isdigit() and len(part)==expect_len for part, expect_len in zip(value.split('-'), [4,2,2])))
+
+
+
+
+
+
+
+
+
+
+
+
+ not value or all(ord(c) < 127 for c in value)
+
+
+
+
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+
+
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+
+
+
diff -r aa82b2e54055 -r 1425ea794026 reheader.xml
--- a/reheader.xml Sat Nov 11 18:19:22 2017 -0500
+++ b/reheader.xml Mon Dec 18 03:39:07 2017 -0500
@@ -29,24 +29,41 @@
label="read-group ID (will create the read-group if it does not exist)"
help="required field">
+
+
-
+
+
+
+ label="date (YY-MM-DD format) the run was produced">
+
+
-
+ label="name of sequencing center">
+
+
+
+
+
+ label="platform/technology used to produce the reads">
+
+
+
+ label="predicted median insert size">
+ not value or value.isdigit()
+
+ label="platform unit; unique identifier">
+
+
@@ -180,12 +197,16 @@
-
+
+
+
-
+
+
+
@@ -194,14 +215,23 @@
-
+ help="as it appears in the current input file header">
+
+
+
+
+
-
+ help="as it appears in the current input file header">
+
+
+
+ all((32 < ord(c) < 127 and c not in '<>[]*;=,') for c in value)
+
+
diff -r aa82b2e54055 -r 1425ea794026 sam_header.xml
--- a/sam_header.xml Sat Nov 11 18:19:22 2017 -0500
+++ b/sam_header.xml Mon Dec 18 03:39:07 2017 -0500
@@ -41,84 +41,38 @@
-
-
-
-
-
-
-
-
+
-
-
-
-
-
-
-
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+
-
-
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-
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+
- not value or (len(value.split('-')) == 3 and all(part.isdigit() and len(part)==expect_len for part, expect_len in zip(value.split('-'), [4,2,2])))
+
-
-
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+
-
-
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-
-
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+
-
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-
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-
-
-
+
+
-
+
+ not value or value.isdigit()
+
-
-
-
-
-
-
-
-
+
diff -r aa82b2e54055 -r 1425ea794026 varreport.xml
--- a/varreport.xml Sat Nov 11 18:19:22 2017 -0500
+++ b/varreport.xml Mon Dec 18 03:39:07 2017 -0500
@@ -42,7 +42,9 @@
+ help="If you declare the species your input data comes from, variant reports in html format can have hyperlinks to species-specific databases and genome browsers added. If you have used the MiModD Variant Annotation tool to generate the input dataset, the species information will already be recorded in the dataset, but you can overwrite it if you wish.">
+
+
diff -r aa82b2e54055 -r 1425ea794026 vcf_filter.xml
--- a/vcf_filter.xml Sat Nov 11 18:19:22 2017 -0500
+++ b/vcf_filter.xml Mon Dec 18 03:39:07 2017 -0500
@@ -57,10 +57,14 @@
+ help="name of a sample as it appears in the VCF input file and that indicates the sample that this filter should be applied to.">
+
+
+ help="keep only variants for which the genotype of the sample matches the specified pattern; format: x/x where x = 0 is wildtype and x = 1 is mutant. Multiple genotypes can be specified as a comma-separated list.">
+ not value or all(c.isdigit() or c in './|' for token in value.split(',') for c in token.strip(' '))
+
@@ -69,13 +73,21 @@
help="keep only variants for which the genotype prediction for the sample has at least this quality" />
+ help="expected format: [allele number]:[minimal fraction]:[maximal fraction]; keep only variants for which the fraction of sample-specific reads supporting a given allele number is between minimal and maximal fraction; if allele number is omitted, the filter operates on the most frequent non-reference allele instead">
+ not value or all(c.isdigit() or c in '.:' for c in value)
+
-
-
-
+
+
+
+
+ not value or value.isdigit()
+
+
+ not value or value.isdigit()
+
@@ -84,7 +96,9 @@
+ help="Filter output by sample name; only the sample-specific columns with their sample name matching any of the comma separated filters will be retained in the output.">
+
+