Seed-driven Learning of Position Probability Matrices from Large Sequence Sets

Show full item record



Permalink

http://hdl.handle.net/10138/232540

Citation

Toivonen , J , Taipale , J & Ukkonen , E 2017 , Seed-driven Learning of Position Probability Matrices from Large Sequence Sets . in R Schwartz & K Reinert (eds) , 17th International Workshop on Algorithms in Bioinformatics (WABI 2017) . , 25 , Leibniz International Proceedings in Informatics (LIPIcs) , vol. 88 , Schloss Dagstuhl - Leibniz-Zentrum für Informatik , Workshop on Algorithms in Bioinformatics , Boston , Massachusetts , United States , 21/08/2017 . https://doi.org/10.4230/LIPIcs.WABI.2017.25

Title: Seed-driven Learning of Position Probability Matrices from Large Sequence Sets
Author: Toivonen, Jarkko; Taipale, Jussi; Ukkonen, Esko
Other contributor: Schwartz, Russell
Reinert, Knut
Contributor organization: Department of Computer Science
Combinatorial Pattern Matching research group / Esko Ukkonen
Helsinki Institute for Information Technology
Finnish Centre of Excellence in Algorithmic Data Analysis Research (Algodan)
Bioinformatics
Publisher: Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Date: 2017
Language: eng
Number of pages: 13
Belongs to series: 17th International Workshop on Algorithms in Bioinformatics (WABI 2017)
Belongs to series: Leibniz International Proceedings in Informatics (LIPIcs)
ISBN: 978-3-95977-050-7
ISSN: 1868-8969
DOI: https://doi.org/10.4230/LIPIcs.WABI.2017.25
URI: http://hdl.handle.net/10138/232540
Subject: 113 Computer and information sciences
computational biology
DNA motifs
Peer reviewed: Yes
Rights: cc_by
Usage restriction: openAccess
Self-archived version: publishedVersion


Files in this item

Total number of downloads: Loading...

Files Size Format View
LIPIcs_WABI_2017_25.pdf 584.8Kb PDF View/Open

This item appears in the following Collection(s)

Show full item record