A machine learning based framework to identify and classify long terminal repeat retrotransposons-Reference-Cited by-同舟云学术

A machine learning based framework to identify and classify long terminal repeat retrotransposons

Published:2018-04-23 Issue:4 Volume:14 Page:e1006097
ISSN:1553-7358
Container-title:PLOS Computational Biology
language:en
Short-container-title:PLoS Comput Biol

Author:

Schietgat Leander,Vens Celine^ORCID,Cerri Ricardo^ORCID,Fischer Carlos N.^ORCID,Costa Eduardo,Ramon Jan,Carareto Claudia M. A.,Blockeel Hendrik^ORCID

Publisher

Public Library of Science (PLoS)

Subject

Computational Theory and Mathematics,Cellular and Molecular Neuroscience,Genetics,Molecular Biology,Ecology,Modeling and Simulation,Ecology, Evolution, Behavior and Systematics

Reference31 articles.

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5. Identification of transposable elements using multiple alignments of related genomes;A Caspi;Genome Research,2006

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