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DeepTools

Revision as of 15:35, 27 January 2014 by Bgruening (talk | contribs) (Created page with "{{Bioinformatics application |sw summary=User-friendly tools for the normalization and visualization of deep-sequencing data. |bio domain=Genomics, ChIP-Seq, |bio method=Norm...")
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Application data

Created by Fidel Ramírez, Friederike Dündar, Björn Grüning, Sarah Diehl, Thomas Manke
Biological application domain(s) Genomics, ChIP-Seq
Principal bioinformatics method(s) Normalization, Visualization, Conversion
Technology Illumina HiSeq, 454, Illumina
Created at deepTools is maintained by the Bioinformatics and Deep-Sequencing Unit at the Max Planck Institute of Immunobiology and Epigenetics.
Maintained? Yes
Input format(s) bed, bam, sam, BEDGraph, BedGraph, BigWig
Output format(s) bed, bam, sam, BEDGraph, BedGraph, BigWig
Software features Data Visualisation, coverage analysis, conversion, normalization, GC plot analysis
Programming language(s) Python
Licence GPL3
Operating system(s) Linux, Mac OS X
Contact: deeptools@googlegroups.com

Summary: User-friendly tools for the normalization and visualization of deep-sequencing data.

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Description

deepTools addresses the challenge of handling the large amounts of data that are now routinely generated from DNA sequencing centers. To do so, deepTools contains useful modules to process the mapped reads data to create coverage files in standard bedGraph and bigWig file formats. By doing so, deepTools allows 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, see http://f1000.com/posters/browse/summary/1094053

<img src="https://raw.github.com/fidelram/deepTools/master/examples/collage.png" />



Links

References

  1. . 2014. Nucleic Acids Res.


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