Difference between revisions of "DCLIP"

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(Created page with "{{Bioinformatics application |sw summary=dCLIP is a Perl program for discovering differential binding regions in two comparative CLIP-Seq (HITS-CLIP, PAR-CLIP or iCLIP) experi...")
 
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|sw summary=dCLIP is a Perl program for discovering differential binding regions in two comparative CLIP-Seq (HITS-CLIP, PAR-CLIP or iCLIP) experiments.
 
|sw summary=dCLIP is a Perl program for discovering differential binding regions in two comparative CLIP-Seq (HITS-CLIP, PAR-CLIP or iCLIP) experiments.
 
|bio domain=CLIP-Seq, HITS-CLIP, PAR-CLIP, iCLIP
 
|bio domain=CLIP-Seq, HITS-CLIP, PAR-CLIP, iCLIP
|bio method=Alignment Analysis,  
+
|bio method=Sequence alignment analysis,
 
|bio tech=NGS
 
|bio tech=NGS
 +
|created by=Tao Wang
 +
|created at=UT Southwestern Medical Center
 +
|maintained=Yes
 +
|email address=tao.wang@utsouthwestern.edu
 +
|input format=SAM,
 +
|output format=BED, BEDGRAPH, .txt,
 +
|language=Perl, C,
 +
|library=PDL, PDL::Stats
 +
|os=UNIX, Unix-like,
 
}}
 
}}
 
== Description ==
 
== Description ==
 
<!-- Describe the application in the space below -->  
 
<!-- Describe the application in the space below -->  
  
 
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Although comparison of RNA-protein interaction profiles across different conditions has become increasingly important to understanding the function of RNA-binding proteins (RBPs), few computational approaches have been developed for quantitative comparison of CLIP-seq datasets. Here, we present an easy-to-use command line tool, dCLIP, for quantitative CLIP-seq comparative analysis. The two-stage method implemented in dCLIP, including a modified MA normalization method and a hidden Markov model, is shown to be able to effectively identify differential binding regions of RBPs in four CLIP-seq datasets, generated by HITS-CLIP, iCLIP and PAR-CLIP protocols. dCLIP is freely available at http://qbrc.swmed.edu/software/.
  
  

Latest revision as of 12:44, 3 November 2015

Application data

Created by Tao Wang
Biological application domain(s) CLIP-Seq, HITS-CLIP, PAR-CLIP, iCLIP
Principal bioinformatics method(s) Sequence alignment analysis
Technology NGS
Created at UT Southwestern Medical Center
Maintained? Yes
Input format(s) SAM
Output format(s) BED, BEDGRAPH, .txt
Programming language(s) Perl, C
Software libraries PDL, PDL::Stats
Operating system(s) UNIX, Unix-like
Contact: tao.wang@utsouthwestern.edu

Summary: dCLIP is a Perl program for discovering differential binding regions in two comparative CLIP-Seq (HITS-CLIP, PAR-CLIP or iCLIP) experiments.

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Description

Although comparison of RNA-protein interaction profiles across different conditions has become increasingly important to understanding the function of RNA-binding proteins (RBPs), few computational approaches have been developed for quantitative comparison of CLIP-seq datasets. Here, we present an easy-to-use command line tool, dCLIP, for quantitative CLIP-seq comparative analysis. The two-stage method implemented in dCLIP, including a modified MA normalization method and a hidden Markov model, is shown to be able to effectively identify differential binding regions of RBPs in four CLIP-seq datasets, generated by HITS-CLIP, iCLIP and PAR-CLIP protocols. dCLIP is freely available at http://qbrc.swmed.edu/software/.





Links


References

  1. . 2014. Genome Biology


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