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The PepSeq Pipeline : Software for Antimicrobial Motif D..:

, In: Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics,

Jensen, Tanner D. ; Bresciano, Kristi A. ; Dallon, Emma... - p. 139-144 , 2018

Link: https://dl.acm.org/doi/10.1145/3233547.3233599

RT 
T1 <cTitle>Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics</cTitle>: T1 <Title>The PepSeq Pipeline				: Software for Antimicrobial Motif Discovery in Randomly-Generated Peptide Libraries</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3233599&Exemplar=1&LAN=DE
				
A1 Jensen, Tanner D.
A1 Bresciano, Kristi A.
A1 Dallon, Emma
A1 Fujimoto, M. Stanley
A1 Lyman, Cole A.
A1 Stewart, Enoch
A1 Griffitts, Joel
A1 Clement, Mark J.
PB ACM
YR 2018
K1 drug discovery
K1 peptide
K1 random forest
K1 Computing methodologies
K1 Machine learning
K1 Learning paradigms
K1 Unsupervised learning
K1 Motif discovery
K1 Applied computing
K1 Life and medical sciences
K1 Computational biology
K1 Molecular sequence analysis
K1 Bioinformatics
K1 Machine learning approaches
K1 Classification and regression trees
K1 Computational proteomics
SP 139
OP 144
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3233547.3233599
DO https://dl.acm.org/doi/10.1145/3233547.3233599
SF ELIB - SuUB Bremen

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