Run probability of high-order seed patterns and its applications to finding good transition seeds

J. L. Yang, L. X. Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Transition seeds exhibit a good tradeoff between sensitivity and specificity for homology search in both coding and non-coding regions. But, identifying good transition seeds is extremely hard. We study the hit probability of high-order seed patterns. Based on our theoretical results, we propose an efficient method for ranking transition seeds for seed design.

Original languageEnglish
Title of host publicationProceedings of 6th Asia-Pacific Bioinformatics Conference, APBC 2008
Pages123-132
Number of pages10
StatePublished - 2008
Externally publishedYes
Event6th Asia-Pacific Bioinformatics Conference, APBC 2008 - Kyoto, Japan
Duration: 14 Jan 200817 Jan 2008

Publication series

NameSeries on Advances in Bioinformatics and Computational Biology
Volume6
ISSN (Print)1751-6404

Conference

Conference6th Asia-Pacific Bioinformatics Conference, APBC 2008
Country/TerritoryJapan
CityKyoto
Period14/01/0817/01/08

Keywords

  • High-order seed pattern
  • Run statistics
  • Sensitivity analysis
  • Transition seed

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