Utilizing sequence intrinsic composition to classify protein-coding and long non-coding transcripts-Reference-Cited by-同舟云学术

Utilizing sequence intrinsic composition to classify protein-coding and long non-coding transcripts

Published:2013-07-27 Issue:17 Volume:41 Page:e166-e166
ISSN:1362-4962
Container-title:Nucleic Acids Research
language:en
Short-container-title:

Author:

Sun Liang¹¹,Luo Haitao¹,Bu Dechao¹,Zhao Guoguang¹,Yu Kuntao¹,Zhang Changhai¹,Liu Yuanning¹,Chen Runsheng¹,Zhao Yi¹

Affiliation:

1. Bioinformatics Research Group, Advanced Computing Research Laboratory, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China, 2 College of Computer Science and Technology, Jilin University, Changchun 130012, China and 3 Laboratory of Bioinformatics and Non-coding RNA, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China

Publisher

Oxford University Press (OUP)

Subject

Genetics

Link

http://academic.oup.com/nar/article-pdf/41/17/e166/25362062/gkt646.pdf

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4. CPC: assess the protein-coding potential of transcripts using sequence features and support vector machine;Kong;Nucleic Acids Res.,2007

5. PhyloCSF: a comparative genomics method to distinguish protein coding and non-coding regions;Lin;Bioinformatics,2011

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