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Efficient storage and regression computation for population-scale genome sequencing studies

Bioinformatics(2025)10.1093/bioinformatics/btaf067Source: DataRank Database

Efficient storage and regression computation for population-scale genome sequencing studies is a research paper published in Bioinformatics (2025). On theSindex it has a DataRank of 0. It has been cited 3 times.

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Open Access3 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (3 grants)OA: goldTopics (20)IDs (PubMed, PMC)

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Authors (2)

Christopher Chang ORCID,Manuel A. Rivas ORCID

Live enrichment

PubMed:39932865 PMC:PMC11893150

National Human Genome Research Institute

Grant: R01HG010140

National Institutes of Mental Health

Grant: R01MH124244

National Institutes of Health

Grant: 5R01HG010140-03

SOFTWARE FOR LARGE-SCALE INFERENCE OF THE GENETICS OF LIFESTYLE MEASURES, BIOMARKERS, AND COMMON AND RARE DISEASES

goldLicense: cc-by

publisherhttps://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btaf067/61850680/btaf067.pdf

publisherhttps://academic.oup.com/bioinformatics/article-pdf/41/3/btaf067/61850680/btaf067.pdf

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11893150/pdf/btaf067.pdf

Unpaywallhttps://doi.org/10.1093/bioinformatics/btaf067

Europe_PMChttps://europepmc.org/articles/PMC11893150

Fields of Study

0206 medical engineering02 engineering and technology

MeSH Terms

HumansRegression AnalysisComputational BiologyGenome, HumanAlgorithmsSoftwareGenome-Wide Association StudyWhole Genome Sequencing

Keywords

Original PaperWhole Genome SequencingGenome, HumanHumansRegression AnalysisComputational BiologyArticleAlgorithmsSoftwareGenome-Wide Association Study