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Peizhen Gu

dblp:157/1839 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
genomics
0.212015
MTide: an integrated tool for the identification of miRNA-target interaction in plants · Bioinform. 2015
Bioinformatics and computational biology › gene regulation › microRNA regulation
microRNA-target interaction
0.212015
MTide: an integrated tool for the identification of miRNA-target interaction in plants · Bioinform. 2015
Bioinformatics and computational biology › sequence analysis › RNA sequence analysis
small RNA analysis
0.212015
MTide: an integrated tool for the identification of miRNA-target interaction in plants · Bioinform. 2015

Methods — techniques the papers use, named apart from their topics

miRDeep2 · 0.2cleaveland4 · 0.2
YearPublicationVenuePosition
2015 MTide: an integrated tool for the identification of miRNA-target interaction in plants
abstract
MOTIVATION: Small RNA sequencing and degradome sequencing (also known as parallel analysis of RNA ends) have provided rich information on the microRNA (miRNA) and its cleaved mRNA targets on a genome-wide scale in plants, but no computational tools have been developed to effectively and conveniently deconvolute the miRNA-target interaction (MTI). RESULTS: A freely available package, MTide, was developed by combining modified miRDeep2 and CleaveLand4 with some other useful scripts to explore MTI in a comprehensive way. By searching for targets of a complete miRNAs, we can facilitate large-scale identification of miRNA targets, allowing us to discover regulatory interaction networks. AVAILABILITY AND IMPLEMENTATION: http://bis.zju.edu.cn/MTide.
Zhao Zhang 0012, Peizhen Gu, Ming Chen 0005
Bioinform.4