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
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:2020-11-02
卷期号:37 (14): 2058-2060
被引量:38
标识
DOI:10.1093/bioinformatics/btaa917
摘要
Abstract Summary 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. Availability and implementation amPEPpy is implemented in Python 3 and is freely available through GitHub (https://github.com/tlawrence3/amPEPpy). Supplementary information Supplementary data are available at Bioinformatics online.
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