Inference of the human polyadenylation code
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada
2. Deep Genomics, MaRS Centre, Toronto, Canada
3. Banting and Best Department of Medical Research, University of Toronto, Toronto, Canada
Funder
Natural Science and Engineering Research Council of Canada and Deep Genomics
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/34/17/2889/25702959/bty211.pdf
Reference58 articles.
1. POLYAR, a new computer program for prediction of poly(A) sites in human sequences;Akhtar;BMC Genomics,2010
2. Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning;Alipanahi;Nat. Biotechnol,2015
3. DeepCpG: accurate prediction of single-cell DNA methylation states using deep learning;Angermueller;Genome Biol,2017
4. Aligning multiple genomic sequences with the threaded blockset aligner;Blanchette;Genome Res,2004
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