<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>20(12)</volume><submitter>Smith DR</submitter><funding>Discovery Grant from the Natural Sciences and Engineering Research Council (NSERC) of Canada</funding><pubmed_abstract>Old data are like yesterday's leftovers: sapped of novelty and excitement. But revisiting old sequence data with a fresh mind and new techniques can yield new and unexpected results.</pubmed_abstract><journal>EMBO reports</journal><pagination>e49482</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC6893286</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Revisiting published genomes with fresh eyes and new data: Revising old sequencing data can yield unexpected insights and identify errors.</pubmed_title><pmcid>PMC6893286</pmcid><pubmed_authors>Smith DR</pubmed_authors></additional><is_claimable>false</is_claimable><name>Revisiting published genomes with fresh eyes and new data: Revising old sequencing data can yield unexpected insights and identify errors.</name><description>Old data are like yesterday's leftovers: sapped of novelty and excitement. But revisiting old sequence data with a fresh mind and new techniques can yield new and unexpected results.</description><dates><release>2019-01-01T00:00:00Z</release><publication>2019 Dec</publication><modification>2021-02-20T03:08:05Z</modification><creation>2021-02-20T03:08:05Z</creation></dates><accession>S-EPMC6893286</accession><cross_references><pubmed>31680386</pubmed><doi>10.15252/embr.201949482</doi></cross_references></HashMap>