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SeSAM: software for automatic construction of order-robust linkage maps.

Adrien VidalFranck GauthierWilly RodrigezNadège GuiglielmoniDamien LerouxNicolas ChevrolierSylvain JassonElise TourretteOlivier C MartinMatthieu Falque
Published in: BMC bioinformatics (2022)
SeSAM is a fully automatic linkage mapping software designed to (1) produce a framework map as robust as desired by optimizing the selection of a subset of markers, and (2) produce a high-density map including almost all polymorphic markers. The software can be used with a wide range of biparental mapping populations including cases from outcrossing. SeSAM is freely available under a GNU GPL v3 license and works on Linux, Windows, and macOS platforms. It can be downloaded together with its user-manual and quick-start tutorial from ForgeMIA (SeSAM project) at https://forgemia.inra.fr/gqe-acep/sesam/-/releases.
Keyphrases
  • high density
  • deep learning
  • machine learning
  • data analysis
  • quality improvement
  • high resolution
  • gene expression
  • genome wide
  • hepatitis c virus
  • neural network