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RUN PROBABILITY OF HIGH-ORDER SEED PATTERNS AND ITS APPLICATIONS TO FINDING GOOD TRANSITION SEEDS
Author(s) -
Jialiang Yang,
Louxin Zhang
Publication year - 2007
Publication title -
citeseer x (the pennsylvania state university)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1142/9781848161092_0015
Subject(s) - order (exchange) , transition (genetics) , computer science , biology , economics , gene , biochemistry , finance
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.

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