Identification of MicroRNAs and natural antisense transcript-originated endogenous siRNAs from small-RNA deep sequencing data

Weixiong Zhang; Xuefeng Zhou; Jing Xia; Xiang Zhou

doi:10.1007/978-1-61779-839-9_17

Identification of MicroRNAs and natural antisense transcript-originated endogenous siRNAs from small-RNA deep sequencing data

Weixiong Zhang, Xuefeng Zhou, Jing Xia, Xiang Zhou

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

7 Scopus citations

Abstract

Next-generation sequencing (NGS) is becoming a routine experimental technology. It has been a great success in recent years to profile small-RNA species using NGS. Indeed, a large quantity of small-RNA profiling data has been generated from NGS, and computational methods have been developed to process and analyze NGS data for the purpose of identification of novel and expressed small noncoding RNAs and analysis of their roles in nearly all biological processes and pathways in eukaryotes. We discuss here the computational procedures and major steps for identification of microRNAs and natural antisense transcript-originated small interfering RNAs from NGS small-RNA profiling data.

Original language	English
Title of host publication	RNA Abundance Analysis
Subtitle of host publication	Methods and Protocols
Publisher	Humana Press Inc.
Pages	221-227
Number of pages	7
ISBN (Print)	9781617798382
DOIs	https://doi.org/10.1007/978-1-61779-839-9_17
State	Published - 2012

Publication series

Name	Methods in Molecular Biology
Volume	883
ISSN (Print)	1064-3745

Keywords

MicroRNA
Next-generation deep sequencing
nat-siRNA

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10.1007/978-1-61779-839-9_17

Cite this

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abstract = "Next-generation sequencing (NGS) is becoming a routine experimental technology. It has been a great success in recent years to profile small-RNA species using NGS. Indeed, a large quantity of small-RNA profiling data has been generated from NGS, and computational methods have been developed to process and analyze NGS data for the purpose of identification of novel and expressed small noncoding RNAs and analysis of their roles in nearly all biological processes and pathways in eukaryotes. We discuss here the computational procedures and major steps for identification of microRNAs and natural antisense transcript-originated small interfering RNAs from NGS small-RNA profiling data.",

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Identification of MicroRNAs and natural antisense transcript-originated endogenous siRNAs from small-RNA deep sequencing data. / Zhang, Weixiong; Zhou, Xuefeng; Xia, Jing et al.
RNA Abundance Analysis: Methods and Protocols. Humana Press Inc., 2012. p. 221-227 (Methods in Molecular Biology; Vol. 883).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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AU - Zhou, Xiang

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AB - Next-generation sequencing (NGS) is becoming a routine experimental technology. It has been a great success in recent years to profile small-RNA species using NGS. Indeed, a large quantity of small-RNA profiling data has been generated from NGS, and computational methods have been developed to process and analyze NGS data for the purpose of identification of novel and expressed small noncoding RNAs and analysis of their roles in nearly all biological processes and pathways in eukaryotes. We discuss here the computational procedures and major steps for identification of microRNAs and natural antisense transcript-originated small interfering RNAs from NGS small-RNA profiling data.

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KW - Next-generation deep sequencing

KW - nat-siRNA

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Identification of MicroRNAs and natural antisense transcript-originated endogenous siRNAs from small-RNA deep sequencing data

Abstract

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