ACT: aggregation and correlation toolbox for analyses of genome tracks

Autor: Yutao Fu, Kevin Y. Yip, Robert D. Bjornson, Zhengdong D. Zhang, Justin Jee, Joel Rozowsky, Jie Wang, Zhiping Weng, Mark Gerstein, Guoneng Zhong, Lucas Lochovsky
Rok vydání: 2011
Předmět:
Zdroj: Bioinformatics
ISSN: 1460-2059
1367-4803
DOI: 10.1093/bioinformatics/btr092
Popis: 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: gro.balnietsreg@ip
Databáze: OpenAIRE