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ACT: aggregation and correlation toolbox for analyses of genome tracks

Jee, Justin
Rozowsky, Joel
Yip, Kevin Y.
Lochovsky, Lucas
Bjornson, Robert
Zhong, Guoneng
Zhang, Zhengdong
Fu, Yutao
Wang, Jie
Weng, Zhiping
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Abstract

We have implemented aggregation and correlation toolbox (ACT), an efficient, multifaceted toolbox for analyzing continuous signal and discrete region tracks from high-throughput genomic experiments, such as RNA-seq or ChIP-chip signal profiles from the ENCODE and modENCODE projects, or lists of single nucleotide polymorphisms from the 1000 genomes project. It is able to generate aggregate profiles of a given track around a set of specified anchor points, such as transcription start sites. It is also able to correlate related tracks and analyze them for saturation--i.e. how much of a certain feature is covered with each new succeeding experiment. The ACT site contains downloadable code in a variety of formats, interactive web servers (for use on small quantities of data), example datasets, documentation and a gallery of outputs. Here, we explain the components of the toolbox in more detail and apply them in various contexts. AVAILABILITY: ACT is available at http://act.gersteinlab.org CONTACT: pi@gersteinlab.org.

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Bioinformatics. 2011 Apr 15;27(8):1152-4. doi: 10.1093/bioinformatics/btr092. Link to article on publisher's site

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DOI
10.1093/bioinformatics/btr092
PubMed ID
21349863
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© The Author(s) 2011. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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