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Comparison of multiple algorithms to reliably detect structural variants in pears

Comparison of multiple algorithms to reliably detect structural variants in pears

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_08fae714ded04462a1c6110dbb594c18

Comparison of multiple algorithms to reliably detect structural variants in pears

About this item

Full title

Comparison of multiple algorithms to reliably detect structural variants in pears

Publisher

England: BioMed Central Ltd

Journal title

BMC genomics, 2020-01, Vol.21 (1), p.61-61, Article 61

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Structural variations (SVs) have been reported to play an important role in genetic diversity and trait regulation. Many computer algorithms detecting SVs have recently been developed, but the use of multiple algorithms to detect high-confidence SVs has not been studied. The most suitable sequencing depth for detecting SVs in pear is also not known...

Alternative Titles

Full title

Comparison of multiple algorithms to reliably detect structural variants in pears

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_08fae714ded04462a1c6110dbb594c18

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_08fae714ded04462a1c6110dbb594c18

Other Identifiers

ISSN

1471-2164

E-ISSN

1471-2164

DOI

10.1186/s12864-020-6455-x

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