SEED: efficient clustering of next-generation sequences

Motivation: Similarity clustering of next-generation sequences (NGS) is an important computational problem to study the population sizes of DNA/RNA molecules and to reduce the redundancies in NGS data. Currently, most sequence clustering algorithms are limited by their speed and scalability, and thu...

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Detalles Bibliográficos
Autores principales: Bao, Ergude, Jiang, Tao, Kaloshian, Isgouhi, Girke, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2011
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3167058/
https://www.ncbi.nlm.nih.gov/pubmed/21810899
http://dx.doi.org/10.1093/bioinformatics/btr447

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3167058/
https://www.ncbi.nlm.nih.gov/pubmed/21810899
http://dx.doi.org/10.1093/bioinformatics/btr447

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