<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>15</volume><submitter>Guenzi-Tiberi P</submitter><pubmed_abstract>Extensive research has focused on exploring the range of genome sizes in eukaryotes, with a particular emphasis on land plants, where significant variability has been observed. Accurate estimation of genome size is essential for various research purposes, but existing sequence-based methods have limitations, particularly for low-coverage datasets. In this study, we introduce LocoGSE, a novel genome size estimator designed specifically for low-coverage datasets generated by genome skimming approaches. LocoGSE relies on mapping the reads on single copy consensus proteins without the need for a reference genome assembly. We calibrated LocoGSE using 430 low-coverage Angiosperm genome skimming datasets and compared its performance against other estimators. Our results demonstrate that LocoGSE a</pubmed_abstract><journal>Frontiers in plant science</journal><pagination>1328966</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10972871</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>LocoGSE, a sequence-based genome size estimator for plants.</pubmed_title><pmcid>PMC10972871</pmcid><pubmed_authors>Lavergne S</pubmed_authors><pubmed_authors>Istace B</pubmed_authors><pubmed_authors>Aury JM</pubmed_authors><pubmed_authors>Guenzi-Tiberi P</pubmed_authors><pubmed_authors>Alsos IG</pubmed_authors><pubmed_authors>Denoeud F</pubmed_authors><pubmed_authors>Coissac E</pubmed_authors></additional><is_claimable>false</is_claimable><name>LocoGSE, a sequence-based genome size estimator for plants.</name><description>Extensive research has focused on exploring the range of genome sizes in eukaryotes, with a particular emphasis on land plants, where significant variability has been observed. Accurate estimation of genome size is essential for various research purposes, but existing sequence-based methods have limitations, particularly for low-coverage datasets. In this study, we introduce LocoGSE, a novel genome size estimator designed specifically for low-coverage datasets generated by genome skimming approaches. LocoGSE relies on mapping the reads on single copy consensus proteins without the need for a reference genome assembly. We calibrated LocoGSE using 430 low-coverage Angiosperm genome skimming datasets and compared its performance against other estimators. Our results demonstrate that LocoGSE a</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024</publication><modification>2025-04-04T20:47:21.789Z</modification><creation>2025-04-04T20:47:21.789Z</creation></dates><accession>S-EPMC10972871</accession><cross_references><pubmed>38550287</pubmed><doi>10.3389/fpls.2024.1328966</doi></cross_references></HashMap>