PeerJ (Mar 2022)

High-performance pipeline for MutMap and QTL-seq

  • Yu Sugihara,
  • Lester Young,
  • Hiroki Yaegashi,
  • Satoshi Natsume,
  • Daniel J. Shea,
  • Hiroki Takagi,
  • Helen Booker,
  • Hideki Innan,
  • Ryohei Terauchi,
  • Akira Abe

DOI
https://doi.org/10.7717/peerj.13170
Journal volume & issue
Vol. 10
p. e13170

Abstract

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Summary Bulked segregant analysis implemented in MutMap and QTL-seq is a powerful and efficient method to identify loci contributing to important phenotypic traits. However, the previous pipelines were not user-friendly to install and run. Here, we describe new pipelines for MutMap and QTL-seq. These updated pipelines are approximately 5–8 times faster than the previous pipeline, are easier for novice users to use, and can be easily installed through bioconda with all dependencies. Availability The new pipelines of MutMap and QTL-seq are written in Python and can be installed via bioconda. The source code and manuals are available online (MutMap: https://github.com/YuSugihara/MutMap, QTL-seq: https://github.com/YuSugihara/QTL-seq).

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