Display Settings:

Format

Send to:

Choose Destination
See comment in PubMed Commons below
Bioinformatics. 2011 Dec 15;27(24):3333-40. doi: 10.1093/bioinformatics/btr570. Epub 2011 Oct 12.

Pyicos: a versatile toolkit for the analysis of high-throughput sequencing data.

Author information

  • 1Universitat Pompeu Fabra, E08003 Barcelona, Spain.

Abstract

MOTIVATION:

High-throughput sequencing (HTS) has revolutionized gene regulation studies and is now fundamental for the detection of protein-DNA and protein-RNA binding, as well as for measuring RNA expression. With increasing variety and sequencing depth of HTS datasets, the need for more flexible and memory-efficient tools to analyse them is growing.

RESULTS:

We describe Pyicos, a powerful toolkit for the analysis of mapped reads from diverse HTS experiments: ChIP-Seq, either punctuated or broad signals, CLIP-Seq and RNA-Seq. We prove the effectiveness of Pyicos to select for significant signals and show that its accuracy is comparable and sometimes superior to that of methods specifically designed for each particular type of experiment. Pyicos facilitates the analysis of a variety of HTS datatypes through its flexibility and memory efficiency, providing a useful framework for data integration into models of regulatory genomics.

AVAILABILITY:

Open-source software, with tutorials and protocol files, is available at http://regulatorygenomics.upf.edu/pyicos or as a Galaxy server at http://regulatorygenomics.upf.edu/galaxy

CONTACT:

eduardo.eyras@upf.edu

SUPPLEMENTARY INFORMATION:

Supplementary data are available at Bioinformatics online.

PMID:
21994224
[PubMed - indexed for MEDLINE]
PMCID:
PMC3232367
Free PMC Article

Images from this publication.See all images (3)Free text

Fig. 1.
Fig. 2.
Fig. 3.
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Icon for HighWire Icon for PubMed Central
    Loading ...
    Write to the Help Desk