Regmex: a statistical tool for exploring motifs in ranked sequence lists from genomics experiments-Reference-Cited by-同舟云学术

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Regmex: a statistical tool for exploring motifs in ranked sequence lists from genomics experiments

Published:2018-12 Issue:1 Volume:13 Page:
ISSN:1748-7188
Container-title:Algorithms for Molecular Biology
language:en
Short-container-title:Algorithms Mol Biol

Author:

Nielsen Morten Muhlig,Tataru Paula,Madsen Tobias,Hobolth Asger,Pedersen Jakob Skou

Funder

Sundhed og Sygdom, Det Frie Forskningsråd

Strategiske Forskningsråd

Kræftens Bekæmpelse

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computational Theory and Mathematics,Molecular Biology,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/s13015-018-0135-2.pdf

Reference30 articles.

1. van Dongen S, Abreu-Goodger C, Enright AJ. Detecting microRNA binding and siRNA off-target effects from expression data. Nat Methods. 2008;5:1023–5.

2. Rasmussen SH, Jacobsen A, Krogh A. cWords-systematic microRNA regulatory motif discovery from mRNA expression data. Silence. 2013;4:2.

3. Steinfeld I, Navon R, Ach R, Yakhini Z. miRNA target enrichment analysis reveals directly active miRNAs in health and disease. Nucleic Acids Res. 2013;41:e45.

4. Leibovich L, Paz I, Yakhini Z, Mandel-Gutfreund Y. DRIMust: a web server for discovering rank imbalanced motifs using suffix trees. Nucleic Acids Res. 2013;41:W174–9.

5. Chen X, Hughes TR, Morris Q. RankMotif++: a motif-search algorithm that accounts for relative ranks of K-mers in binding transcription factors. Bioinformatics. 2007;23:i72–9.

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