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kClust: fast and sensitive clustering of large protein sequence databases

BACKGROUND: Fueled by rapid progress in high-throughput sequencing, the size of public sequence databases doubles every two years. Searching the ever larger and more redundant databases is getting increasingly inefficient. Clustering can help to organize sequences into homologous and functionally si...

詳細記述

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書誌詳細
主要な著者: Hauser, Maria, Mayer, Christian E, Söding, Johannes
フォーマット: Artigo
言語:Inglês
出版事項: BioMed Central 2013
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC3843501/
https://ncbi.nlm.nih.gov/pubmed/23945046
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-14-248
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