YAMDA: thousandfold speedup of EM-based motif discovery using deep learning libraries and GPU

MOTIVATION: Motif discovery in large biopolymer sequence datasets can be computationally demanding, presenting significant challenges for discovery in omics research. MEME, arguably one of the most popular motif discovery software, takes quadratic time with respect to dataset size, leading to excess...

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Detalles Bibliográficos
Autores principales: Quang, Daniel, Guan, Yuanfang, Parker, Stephen C J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6184538/
https://www.ncbi.nlm.nih.gov/pubmed/29790915
http://dx.doi.org/10.1093/bioinformatics/bty396

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6184538/
https://www.ncbi.nlm.nih.gov/pubmed/29790915
http://dx.doi.org/10.1093/bioinformatics/bty396

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