MISA-web: a web server for microsatellite prediction

By Sebastian Beier, Thomas Thiel, T. Münch, U. Scholz, M. Mascher. Bioinform., 2017

2,138 citations recorded by the source corpus.

Motivation: Microsatellites are a widely‐used marker system in plant genetics and forensics. The development of reliable microsatellite markers from resequencing data is challenging. Results: We extended MISA, a computational tool assisting the development of microsatellite markers, and reimplemented it as a web‐based application. We improved compound microsatellite detection and added the possibility to display and export MISA results in GFF3 format for downstream analysis. Availability and Implementation: MISA‐web can be accessed under http://misaweb.ipk‐gatersleben.de/. The website provides tutorials, usage note as well as download links to the source code. Contact: scholz@ipk‐gatersleben.de

Subfields: Genetics, Plant Science

View Paper: https://www.semanticscholar.org/paper/a9756dc40a82082c3de83fe25996f54671826a94

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In Genetics

1. Chang Liu
2. Haimei Chen

Citations in the corpus

• CPGView: A package for visualizing detailed chloroplast genome structures (2023, methodology): “The repeat analysis pipeline was developed based on the following third-party packages: VmatCh version 2.3.0 (Kurtz, 2003), misa version 1.0 (Beier et al., 2017), and trf version 4.0.9 (Benson, 1999).”