May 2019
Intermediate to advanced
452 pages
12h 16m
English
Content preview from Hands-On GPU Computing with Python
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Motif discovery with deep learning
The following is the research paper discussed in this section: YAMDA: thousandfold speedup of EM-based motif discovery using deep learning libraries and GPU, D Quang, Y Guan, S C Parker (2018), Bioinformatics, 34(20), 3578-3580, doi:10.1093/bioinformatics/bty396.
A motif is a genetic sequence/structure that can be of biological significance, and thereby a path toward understanding genetics one step further.
YAMDA is a Python-based and GPU-enabled deep learning tool that can be used for motif discovery in large biopolymer sequence datasets that can be computationally demanding, presenting significant challenges for discovery in omics research. Omics relates to the study of genomics, proteomics, and metabolomics. ...
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