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Genomic data have become major resources to understand complex mechanisms at fine-scale temporal and spatial resolution in functional and evolutionary genetic studies, including human diseases, such as cancers. Recently, a large number of whole genomes of evolving populations of yeast (Saccharomyces cerevisiae W303 strain) were sequenced in a time-dependent manner to identify temporal evolutionary patterns. For this type of study, a chromosome-level sequence assembly of the strain or populationdoi:10.1371/journal.pone.0221858 pmid:31454399 pmcid:PMC6711525 fatcat:2psnxpb5bvb7jhxued5b5wk7qy