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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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| Publicado no: | Bioinformatics |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6184538/ https://ncbi.nlm.nih.gov/pubmed/29790915 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bty396 |
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