Python(编程语言)
计算机科学
开源
分类器(UML)
随机森林
抗菌肽
数据挖掘
抗菌剂
软件
计算生物学
机器学习
人工智能
程序设计语言
生物
微生物学
作者
Travis J. Lawrence,Dana L. Carper,Margaret K. Spangler,Alyssa A. Carrell,Tomás A. Rush,Stephen J. Minter,David J. Weston,Jessy Labbé
出处
期刊:Bioinformatics
[Oxford University Press]
日期:2020-10-17
卷期号:37 (14): 2058-2060
被引量:85
标识
DOI:10.1093/bioinformatics/btaa917
摘要
Antimicrobial peptides (AMPs) are promising alternative antimicrobial agents. Currently, however, portable, user-friendly and efficient methods for predicting AMP sequences from genome-scale data are not readily available. Here we present amPEPpy, an open-source, multi-threaded command-line application for predicting AMP sequences using a random forest classifier.amPEPpy is implemented in Python 3 and is freely available through GitHub (https://github.com/tlawrence3/amPEPpy).Supplementary data are available at Bioinformatics online.
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