# HG changeset patch # User bgruening # Date 1450899485 18000 # Node ID f509604dbf067175693c95f848fdf46a5f084c91 # Parent 8ed7e3b6a16ca4a3bbec5b1e96305946035284de planemo upload for repository https://github.com/fidelram/deepTools/tree/master/galaxy/wrapper/ commit 4f515024772311c950d277246db548453d24abd7 diff -r 8ed7e3b6a16c -r f509604dbf06 deepTools_macros.xml --- a/deepTools_macros.xml Wed Dec 23 07:28:42 2015 -0500 +++ b/deepTools_macros.xml Wed Dec 23 14:38:05 2015 -0500 @@ -55,7 +55,7 @@ + help="If set, then regions with zero counts for *all* BAM files are included. The default behavior is to ignore such regions." /> @@ -68,7 +68,7 @@ + help="This is useful when testing parameters to reduce the time required. The format is chr:start:end, for example "chr10" or "chr10:456700:891000"." /> --numberOfProcessors "\${GALAXY_SLOTS:-4}" @@ -86,8 +86,8 @@ + label="Smooth values using the following length (in bases)" + help ="The smooth length defines a window, larger than the bin size, over which the number of reads is to be averaged. For example, if the bin size is set to 20 and the smooth length is 60, then, for each bin, its value is set to the average of it and its left and right neighbors. Any value smaller than the bin size will be ignored and no smoothing will be applied."/> @@ -107,11 +107,10 @@ + run the clustering using other software."/> @@ -157,11 +156,11 @@ + By default *each* read mate is extended. + This can be modified using the SAM flags (see --samFlagInclude and --samFlagExclude options) to keep only the first or the second mate. + Unmated reads, mate reads that map to different chromosomes or too far apart are extended to the given value. + Reads are only extended if --extendReads is set to a value greater than the read length. *NOTE*: For spliced-read data, this option is not + recommended as it will extend reads over skipped regions, e.g. introns in RNA-seq data."> @@ -189,14 +188,14 @@ help="By default, bamCorrelate considers consecutive bins of the specified 'Bin size'. However, to reduce the computation time, a larger distance between bins can - by given. Larger distances result in less bins being + be given. Larger distances result in fewer bins being considered."/> + help="For paired-end data the fragment is defined by the bounds of the reads. For single-end data the bounds are defined by the read and the user-definable fragment/extension length. This option is useful to get a sharper signal around enriched regions."/> @@ -229,19 +228,19 @@ + help= "If set, only reads with a mapping quality score higher than this value are considered."/> + help ="If set, then zero counts that happen for *all* BAM files given are ignored. This may result in fewer considered regions." /> + help ="If paired-end reads are used, the fragment length is computed from the BAM file, so this is only needed for single-end data."/> @@ -302,7 +301,7 @@ + help="A Bigwig file."/> @@ -394,8 +393,8 @@ should be skipped. The default is to treat those regions as having a value of zero. The decision to skip non-covered regions depends on the interpretation - of the data. Non-covered regions may represent for - example repetitive regions that want to be skipped. + of the data. Non-covered regions may represent, for + example, repetitive regions that should be ignored. (default: False)" /> diff -r 8ed7e3b6a16c -r f509604dbf06 plotHeatmap.xml --- a/plotHeatmap.xml Wed Dec 23 07:28:42 2015 -0500 +++ b/plotHeatmap.xml Wed Dec 23 14:38:05 2015 -0500 @@ -130,9 +130,9 @@ + label="The x-axis label" help="" /> + label="The y-axis label for the top panel" help="" /> @@ -158,7 +158,7 @@ help ="Label shown in the plot for the reference-point. Default is the same as the reference point selected (e.g. TSS), but could be anything, e.g. "peak start" etc." /> + help="If more than one region is being plotted then a list of labels separated by comma is required. For example, label1, label2."> @@ -167,8 +167,8 @@ @@ -200,8 +200,8 @@ The heatmapper visualizes scores associated with genomic regions, for example ChIP enrichment values around the TSS of genes. Like profiler, it requires that computeMatrix was run first to calculate the values. -We implemented vast optional parameters to optimize the visual output and we encourage you to play around with the min/max values -displayed in the heatmap as well as with the different coloring options. The most powerful option is the k-means/hirarchichal clustering +We have implemented number of optional parameters to optimize the visual output and we encourage you to play around with the min/max values +displayed in the heatmap as well as with the different coloring options. The most powerful option is the k-means/hierarchical clustering, where you simply need to indicate the number of groups with similar read distributions that you expect and the algorithm will do the sorting for you.