Saccharomycesidentifier, sid: strain-level analysis of saccharomyces cerevisiae populations by using microsatellite meta-patterns

HIGHLIGHTS

  • who: Irene Stefanini from the Computational Biology Unit, Fondazione Edmund Mach, via EMach, San Michele all'Adige, Trento, Italy. Division of Biomedical Cell Biology, University of Warwick, Coventry, AL, United Kingdom. Present address: have published the Article: SaccharomycesIDentifier, SID: strain-level analysis of Saccharomyces cerevisiae populations by using microsatellite meta-patterns, in the Journal: Scientific Reports Scientific Reports of 22/03/2017
  • what: This result further supported the higher sensitivity of the approach compared to the isolation-based one. The authors propose a method to characterize at the strain level samples containing complex mixtures of . . .

     

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