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Detection of chromosome structural variation by targeted next-generation sequencing and a deep learn...

Detection of chromosome structural variation by targeted next-generation sequencing and a deep learn...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6403216

Detection of chromosome structural variation by targeted next-generation sequencing and a deep learning application

About this item

Full title

Detection of chromosome structural variation by targeted next-generation sequencing and a deep learning application

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2019-03, Vol.9 (1), p.3644-3644, Article 3644

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Molecular testing is increasingly important in cancer diagnosis. Targeted next generation sequencing (NGS) is widely accepted method but structural variation (SV) detection by targeted NGS remains challenging. In the brain tumor, identification of molecular alterations, including 1p/19q co-deletion, is essential for accurate glial tumor classificat...

Alternative Titles

Full title

Detection of chromosome structural variation by targeted next-generation sequencing and a deep learning application

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6403216

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6403216

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-019-40364-5

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