<HashMap><database>biostudies-literature</database><scores/><additional><submitter>LeFaive J</submitter><funding>NHLBI NIH HHS</funding><funding>National Institutes of Health</funding><pagination>4248-4250</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9502232</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>37(22)</volume><pubmed_abstract>&lt;h4>Summary&lt;/h4>The sparse allele vectors file format is an efficient storage format for large-scale DNA variation data and is designed for high throughput association analysis by leveraging techniques for fast deserialization of data into computer memory. A command line interface has been developed to complement the storage format and supports basic features like importing, exporting and subsetting. Additionally, a C++ programming API is available allowing for easy integration into analysis software.&lt;h4>Availability and implementation&lt;/h4>https://github.com/statgen/savvy.&lt;h4>Supplementary information&lt;/h4>Supplementary data are available at Bioinformatics online.</pubmed_abstract><journal>Bioinformatics (Oxford, England)</journal><pubmed_title>Sparse allele vectors and the savvy software suite.</pubmed_title><pmcid>PMC9502232</pmcid><funding_grant_id>U01HL137182</funding_grant_id><funding_grant_id>R01 HL117626</funding_grant_id><funding_grant_id>3R01HL-117626-02S1</funding_grant_id><funding_grant_id>U01 HL137182</funding_grant_id><pubmed_authors>Kang HM</pubmed_authors><pubmed_authors>Abecasis G</pubmed_authors><pubmed_authors>Smith AV</pubmed_authors><pubmed_authors>LeFaive J</pubmed_authors></additional><is_claimable>false</is_claimable><name>Sparse allele vectors and the savvy software suite.</name><description>&lt;h4>Summary&lt;/h4>The sparse allele vectors file format is an efficient storage format for large-scale DNA variation data and is designed for high throughput association analysis by leveraging techniques for fast deserialization of data into computer memory. A command line interface has been developed to complement the storage format and supports basic features like importing, exporting and subsetting. Additionally, a C++ programming API is available allowing for easy integration into analysis software.&lt;h4>Availability and implementation&lt;/h4>https://github.com/statgen/savvy.&lt;h4>Supplementary information&lt;/h4>Supplementary data are available at Bioinformatics online.</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Nov</publication><modification>2025-04-19T03:33:47.629Z</modification><creation>2025-04-07T13:42:26.997Z</creation></dates><accession>S-EPMC9502232</accession><cross_references><pubmed>33989384</pubmed><doi>10.1093/bioinformatics/btab378</doi></cross_references></HashMap>