Author(s): Han BW, Wang W, Zamore PD, Weng Z
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Abstract MOTIVATION: PIWI-interacting RNAs (piRNAs), 23-36 nt small silencing RNAs, repress transposon expression in the metazoan germ line, thereby protecting the genome. Although high-throughput sequencing has made it possible to examine the genome and transcriptome at unprecedented resolution, extracting useful information from gigabytes of sequencing data still requires substantial computational skills. Additionally, researchers may analyze and interpret the same data differently, generating results that are difficult to reconcile. To address these issues, we developed a coordinated set of pipelines, 'piPipes', to analyze piRNA and transposon-derived RNAs from a variety of high-throughput sequencing libraries, including small RNA, RNA, degradome or 7-methyl guanosine cap analysis of gene expression (CAGE), chromatin immunoprecipitation (ChIP) and genomic DNA-seq. piPipes can also produce figures and tables suitable for publication. By facilitating data analysis, piPipes provides an opportunity to standardize computational methods in the piRNA field. SUPPLEMENTARY INFORMATION: Supplementary information, including flowcharts and example figures for each pipeline, are available at Bioinformatics online. AVAILABILITY AND IMPLEMENTATION: piPipes is implemented in Bash, C++, Python, Perl and R. piPipes is free, open-source software distributed under the GPLv3 license and is available at http://bowhan.github.io/piPipes/. CONTACT: [email protected]
or [email protected]
SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. © The Author 2014. Published by Oxford University Press.
This article was published in Bioinformatics
and referenced in Journal of Data Mining in Genomics & Proteomics