StarScan: a web server for scanning small RNA targets from degradome sequencing data.
StarScan: a web server for scanning small RNA targets from degradome sequencing data.
复制标题
StarScan:用于从降解组测序数据中扫描小 RNA 目标的网络服务器。
DOI:
10.1093/nar/gkv524
复制
发表时间:
2015-07-01
影响因子:
14.9
通讯作者:
Qu LH
中科院分区:
文献类型:
--
作者:
Liu S;Li JH;Wu J;Zhou KR;Zhou H;Yang JH;Qu LH
Endogenous small non-coding RNAs (sRNAs), including microRNAs, PIWI-interacting RNAs and small interfering RNAs, play important gene regulatory roles in animals and plants by pairing to the protein-coding and non-coding transcripts. However, computationally assigning these various sRNAs to their regulatory target genes remains technically challenging. Recently, a high-throughput degradome sequencing method was applied to identify biologically relevant sRNA cleavage sites. In this study, an integrated web-based tool, StarScan (sRNA target Scan), was developed for scanning sRNA targets using degradome sequencing data from 20 species. Given a sRNA sequence from plants or animals, our web server performs an ultrafast and exhaustive search for potential sRNA–target interactions in annotated and unannotated genomic regions. The interactions between small RNAs and target transcripts were further evaluated using a novel tool, alignScore. A novel tool, degradomeBinomTest, was developed to quantify the abundance of degradome fragments located at the 9–11th nucleotide from the sRNA 5′ end. This is the first web server for discovering potential sRNA-mediated RNA cleavage events in plants and animals, which affords mechanistic insights into the regulatory roles of sRNAs. The StarScan web server is available at http://mirlab.sysu.edu.cn/starscan/.
登录
查看更多内容
DOI:
10.3322/caac.21244
发表时间:
2014-09
期刊:
CA: a cancer journal for clinicians
影响因子:
--
作者:
Berindan-Neagoe I;Monroig Pdel C;Pasculli B;Calin GA
通讯作者:
Calin GA
影响因子:
48
作者:
Langmead, Ben;Salzberg, Steven L.
通讯作者:
Salzberg, Steven L.
影响因子:
14.9
作者:
Brousse C;Liu Q;Beauclair L;Deremetz A;Axtell MJ;Bouché N
通讯作者:
Bouché N
影响因子:
7
作者:
Harrow J;Frankish A;Gonzalez JM;Tapanari E;Diekhans M;Kokocinski F;Aken BL;Barrell D;Zadissa A;Searle S;Barnes I;Bignell A;Boychenko V;Hunt T;Kay M;Mukherjee G;Rajan J;Despacio-Reyes G;Saunders G;Steward C;Harte R;Lin M;Howald C;Tanzer A;Derrien T;Chrast J;Walters N;Balasubramanian S;Pei B;Tress M;Rodriguez JM;Ezkurdia I;van Baren J;Brent M;Haussler D;Kellis M;Valencia A;Reymond A;Gerstein M;Guigó R;Hubbard TJ
通讯作者:
Hubbard TJ
影响因子:
11.8
作者:
Gregory, Brian D.;O'Malley, Ronan C.;Ecker, Joseph R.
通讯作者:
Ecker, Joseph R.