Modeling one thousand intron length distributions with fitild-Reference-Cited by-同舟云学术

Modeling one thousand intron length distributions with fitild

Published:2018-05-02 Issue:19 Volume:34 Page:3258-3264
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Gotoh Osamu¹²

Affiliation:

1. Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST), AIST Tokyo Waterfront Bio-IT Research Building, Koto-ku, Tokyo, Japan

2. Department of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University, Yoshida Honmachi, Sakyo-ku, Kyoto, Japan

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/34/19/3258/25839706/bty353.pdf

Reference49 articles.

1. The rise and falls of introns;Belshaw;Heredity (Edinb),2006

2. Exon recognition in vertebrate splicing;Berget;J. Biol. Chem,1995

3. Evolution of the exon-intron structure in ciliate genomes;Bondarenko;PLoS One,2016

4. Prediction of complete gene structures in human genomic DNA;Burge;J. Mol. Biol,1997

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