<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Liang Q</submitter><funding>National Science Foundation</funding><pagination>502</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8520301</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>22(1)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>The pan-genome of a species is the union of the genes and non-coding sequences present in all individuals (cultivar, accessions, or strains) within that species.&lt;h4>Results&lt;/h4>Here we introduce PGV, a reference-agnostic representation of the pan-genome of a species based on the notion of consensus ordering. Our experimental results demonstrate that PGV enables an intuitive, effective and interactive visualization of a pan-genome by providing a genome browser that can elucidate complex structural genomic variations.&lt;h4>Conclusions&lt;/h4>The PGV software can be installed via conda or downloaded from https://github.com/ucrbioinfo/PGV . The companion PGV browser at http://pgv.cs.ucr.edu can be tested using example bed tracks available from the GitHub page.</pubmed_abstract><journal>BMC bioinformatics</journal><pubmed_title>Reference-agnostic representation and visualization of pan-genomes.</pubmed_title><pmcid>PMC8520301</pmcid><funding_grant_id>IIS-1814359</funding_grant_id><funding_grant_id>IOS-1543963</funding_grant_id><pubmed_authors>Lonardi S</pubmed_authors><pubmed_authors>Liang Q</pubmed_authors></additional><is_claimable>false</is_claimable><name>Reference-agnostic representation and visualization of pan-genomes.</name><description>&lt;h4>Background&lt;/h4>The pan-genome of a species is the union of the genes and non-coding sequences present in all individuals (cultivar, accessions, or strains) within that species.&lt;h4>Results&lt;/h4>Here we introduce PGV, a reference-agnostic representation of the pan-genome of a species based on the notion of consensus ordering. Our experimental results demonstrate that PGV enables an intuitive, effective and interactive visualization of a pan-genome by providing a genome browser that can elucidate complex structural genomic variations.&lt;h4>Conclusions&lt;/h4>The PGV software can be installed via conda or downloaded from https://github.com/ucrbioinfo/PGV . The companion PGV browser at http://pgv.cs.ucr.edu can be tested using example bed tracks available from the GitHub page.</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Oct</publication><modification>2025-04-04T08:34:00.165Z</modification><creation>2025-04-04T08:34:00.165Z</creation></dates><accession>S-EPMC8520301</accession><cross_references><pubmed>34656081</pubmed><doi>10.1186/s12859-021-04424-w</doi></cross_references></HashMap>