| Literature DB >> 29048524 |
Lianming Du1, Chi Zhang2, Qin Liu3, Xiuyue Zhang4, Bisong Yue4, John Hancock.
Abstract
Summary: 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. Availability and implementation: 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. Contact: chizhang_swmu@126.com. Supplementary information: Supplementary data are available at Bioinformatics online.Mesh:
Year: 2018 PMID: 29048524 DOI: 10.1093/bioinformatics/btx665
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937