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|Title:||Run probabilities of seed-like patterns and identifying good transition seeds|
|Source:||Yang, J., Zhang, L. (2008-12-01). Run probabilities of seed-like patterns and identifying good transition seeds. Journal of Computational Biology 15 (10) : 1295-1313. ScholarBank@NUS Repository. https://doi.org/10.1089/cmb.2007.0209|
|Abstract:||Transition seeds exhibit a good tradeoff between sensitivity and specificity for homology search in both coding and non-coding regions. However, identifying good transition seeds is intractable. This work studies 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 and list good seeds in different Bernoulli sequence models. © Mary Ann Liebert, Inc. 2008.|
|Source Title:||Journal of Computational Biology|
|Appears in Collections:||Staff Publications|
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