Literature DB >> 25487201

Extraction of poly(A) sites from large-scale RNA-Seq data.

Min Dong1, Guoli Ji, Qingshun Quinn Li, Chun Liang.   

Abstract

The NCBI manages the SRA (Sequence Read Archive) database to store RNA-Seq data generated from different NGS technologies. With ever increasing finished and ongoing genome and transcriptome sequencing projects, the data in SRA expand rapidly and present a treasure for mining useful information to facilitate our understanding of biological issues like mRNA 3'-end formation and alternative polyadenylation. We developed a bioinformatics pipeline that can process raw SRA sequence data and obtain high quality poly(A) sites and poly(A) cluster sites with detailed expression information. This pipeline is designed to be generic and can be utilized for polyadenylation studies in any eukaryotic species.

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Year:  2015        PMID: 25487201     DOI: 10.1007/978-1-4939-2175-1_3

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  4 in total

1.  A Genome-wide Study of "Non-3UTR" Polyadenylation Sites in Arabidopsis thaliana.

Authors:  Cheng Guo; Matthew Spinelli; Man Liu; Qingshun Q Li; Chun Liang
Journal:  Sci Rep       Date:  2016-06-15       Impact factor: 4.379

2.  Genome-Wide Analysis and Functional Characterization of the Polyadenylation Site in Pigs Using RNAseq Data.

Authors:  Hongyang Wang; Rui Li; Xiang Zhou; Liyao Xue; Xuewen Xu; Bang Liu
Journal:  Sci Rep       Date:  2016-11-04       Impact factor: 4.379

3.  DNApod: DNA polymorphism annotation database from next-generation sequence read archives.

Authors:  Takako Mochizuki; Yasuhiro Tanizawa; Takatomo Fujisawa; Tazro Ohta; Naruo Nikoh; Tokurou Shimizu; Atsushi Toyoda; Asao Fujiyama; Nori Kurata; Hideki Nagasaki; Eli Kaminuma; Yasukazu Nakamura
Journal:  PLoS One       Date:  2017-02-24       Impact factor: 3.240

4.  Genome-Wide Profiling of Polyadenylation Events in Maize Using High-Throughput Transcriptomic Sequences.

Authors:  Zehra Jafar; Salma Tariq; Irfan Sadiq; Tayyab Nawaz; Malik Nadeem Akhtar
Journal:  G3 (Bethesda)       Date:  2019-08-08       Impact factor: 3.154

  4 in total

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