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Identification of missing variants by combining multiple analytic pipelines

Identification of missing variants by combining multiple analytic pipelines

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b1a9fac1162a4974805bb9c441d8f557

Identification of missing variants by combining multiple analytic pipelines

About this item

Full title

Identification of missing variants by combining multiple analytic pipelines

Publisher

England: BioMed Central Ltd

Journal title

BMC bioinformatics, 2018-04, Vol.19 (1), p.139-139, Article 139

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

After decades of identifying risk factors using array-based genome-wide association studies (GWAS), genetic research of complex diseases has shifted to sequencing-based rare variants discovery. This requires large sample sizes for statistical power and has brought up questions about whether the current variant calling practices are adequate for lar...

Alternative Titles

Full title

Identification of missing variants by combining multiple analytic pipelines

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_b1a9fac1162a4974805bb9c441d8f557

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b1a9fac1162a4974805bb9c441d8f557

Other Identifiers

ISSN

1471-2105

E-ISSN

1471-2105

DOI

10.1186/s12859-018-2151-0

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