| deepTools address the challenge of visualizing the large amounts of data that are now routinely generated from sequencing centers in a meaningful way. To do so, deepTools contain useful routines to process the mapped reads data through removal of duplicates and different filtering options to create coverage files in standard bedGraph and bigWig file formats. deepTools allow the creation of normalized coverage files or the comparison between two files (for example, treatment and control). Finally, using such normalized and standardized files, multiple visualizations can be created to identify enrichments with functional annotations of the genome. For a gallery of images that can be produced and a description of the tools see http://f1000.com/posters/browse/summary/1094053 https://github.com/deeptools/deepTools doi: 10.1093/nar/gku365 Wikipage: https://github.com/deeptools/deepTools/wiki Repository-Maintainer: Björn Grüning https://github.com/deeptools/deepTools |
hg clone https://toolshed.g2.bx.psu.edu/repos/bgruening/deeptools_multi_bigwig_summary
| Name | Version | Type | |
|---|---|---|---|
| deepTools | 2.1.0 | package | |
| python | 2.7.10 | package | |
| Name | Description | Version | Minimum Galaxy Version |
|---|---|---|---|
| calculates average scores for a list of two or more bigwig files | 2.1.0.0 | any | |
| extension | type | mimetype | subclass |
|---|---|---|---|
| deeptools_compute_matrix_archive | galaxy.datatypes.binary:CompressedArchive | True | |
| deeptools_coverage_matrix | galaxy.datatypes.binary:CompressedArchive | True | |