Difference between revisions of "DNaseR"

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{{Bioinformatics application
 
{{Bioinformatics application
|sw summary=DNase I footprinting analysis of DNase-seq data
+
|sw summary=DNase I footprinting analysis of DNase-seq data in R
|bio domain=DNase-seq, FAIRE-seq
+
|bio domain=DNase-seq
 
|bio method=DNase I footprinting
 
|bio method=DNase I footprinting
 
|bio tech=Illumina HiSeq, 454, ABI SOLiD, Ion Torrent, Illumina Solexa, Illumina,
 
|bio tech=Illumina HiSeq, 454, ABI SOLiD, Ion Torrent, Illumina Solexa, Illumina,

Revision as of 12:40, 26 October 2013

Application data

Created by Pedro Madrigal
Biological application domain(s) DNase-seq
Principal bioinformatics method(s) DNase I footprinting
Technology Illumina HiSeq, 454, ABI SOLiD, Ion Torrent, Illumina Solexa, Illumina
Created at Wellcome Trust Sanger Institute
Maintained? Yes
Input format(s) BAM
Output format(s) GRanges, R data.frame
Software features R/Bioconductor package, can run on major computer platforms
Programming language(s) R
Licence GPL-2 + file LICENSE
Operating system(s) Linux, Mac OS X, Windows

Summary: DNase I footprinting analysis of DNase-seq data in R

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Description

DNaseR performs trand-specific digital genomic footprinting in DNase-seq data. The cumulative Skellam distribution function (package 'skellam') is used to detect significant normalized count differences of opposed sign at each DNA strand. This is done in order to determine the protein-binding footprint flanks. Preprocessing of the mapped reads is recommended before running DNaseR (e.g., quality checking and removal of sequence-specific bias).


http://www.bioconductor.org/packages/2.13/bioc/html/DNaseR.html

Links


References

  1. . 2012. Front Genet.


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