piPipes: a set of pipelines for piRNA and transposon analysis via small RNA-seq, RNA-seq, degradome- and CAGE-seq, ChIP-seq and genomic DNA sequencing.
piPipes: a set of pipelines for piRNA and transposon analysis via small RNA-seq, RNA-seq, degradome- and CAGE-seq, ChIP-seq and genomic DNA sequencing.
复制标题
DOI:
10.1093/bioinformatics/btu647
复制
发表时间:
2015-02-15
期刊:
影响因子:
--
通讯作者:
Weng Z
中科院分区:
文献类型:
--
作者:
Han BW;Wang W;Zamore PD;Weng Z
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: Phillip.Zamore@umassmed.edu or Zhiping.Weng@umassmed.edu Supplementary information: Supplementary data are available at Bioinformatics online.
登录
查看更多内容
DOI:
10.1093/bioinformatics/btu638
发表时间:
2015-01-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Anders S;Pyl PT;Huber W
通讯作者:
Huber W
影响因子:
46.9
作者:
Trapnell C;Williams BA;Pertea G;Mortazavi A;Kwan G;van Baren MJ;Salzberg SL;Wold BJ;Pachter L
通讯作者:
Pachter L
DOI:
10.1093/bioinformatics/btq216
发表时间:
2010-06-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Hormozdiari F;Hajirasouliha I;Dao P;Hach F;Yorukoglu D;Alkan C;Eichler EE;Sahinalp SC
通讯作者:
Sahinalp SC
影响因子:
3
作者:
Zhang H;Meltzer P;Davis S
通讯作者:
Davis S
影响因子:
64.8
作者:
Reuter, Michael;Berninger, Philipp;Pillai, Ramesh S.
通讯作者:
Pillai, Ramesh S.