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kmacs: the k-mismatch average common substring approach to alignment-free sequence comparison

Motivation: Alignment-based methods for sequence analysis have various limitations if large datasets are to be analysed. Therefore, alignment-free approaches have become popular in recent years. One of the best known alignment-free methods is the average common substring approach that defines a dist...

詳細記述

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書誌詳細
主要な著者: Leimeister, Chris-Andre, Morgenstern, Burkhard
フォーマット: Artigo
言語:Inglês
出版事項: Oxford University Press 2014
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC4080746/
https://ncbi.nlm.nih.gov/pubmed/24828656
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btu331
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