微卫星
Python(编程语言)
底漆(化妆品)
生物
基因组
人口
计算生物学
计算机科学
遗传学
程序设计语言
基因
社会学
人口学
有机化学
等位基因
化学
作者
Lianming Du,Chi Zhang,Qin Liu,Xiuyue Zhang,Bisong Yue
出处
期刊:Bioinformatics
[Oxford University Press]
日期:2017-10-17
卷期号:34 (4): 681-683
被引量:155
标识
DOI:10.1093/bioinformatics/btx665
摘要
Microsatellites are found to be related with various diseases and widely used in population genetics as genetic markers. However, it remains a challenge to identify microsatellite from large genome and screen microsatellites for primer design from a huge result dataset. Here, we present Krait, a robust and flexible tool for fast investigation of microsatellites in DNA sequences. Krait is designed to identify all types of perfect or imperfect microsatellites on a whole genomic sequence, and is also applicable to identification of compound microsatellites. Primer3 was seamlessly integrated into Krait so that users can design primer for microsatellite amplification in an efficient way. Additionally, Krait can export microsatellite results in FASTA or GFF3 format for further analysis and generate statistical report as well as plotting.Krait is freely available at https://github.com/lmdu/krait under GPL2 License, implemented in C and Python, and supported on Windows, Linux and Mac operating systems.chizhang_swmu@126.com.Supplementary data are available at Bioinformatics online.
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