Abstract 45: Detection of focal somatic copy number variants in whole genome, whole exome, and targeted next-generation sequencing data of tumor/normal pairs

Mapping Intimacies ◽

10.1158/1557-3265.pmsclingen15-45 ◽

2016 ◽

Author(s):

Jessica Aldrich ◽

Jonathan J. Keats ◽

Winnie S. Liang ◽

John D. Carpten ◽

David W. Craig

Keyword(s):

Next Generation Sequencing ◽

Copy Number ◽

Copy Number Variants ◽

Next Generation Sequencing Data ◽

Whole Genome ◽

Next Generation ◽

Sequencing Data ◽

Targeted Next Generation Sequencing ◽

Whole Exome ◽

Generation Sequencing

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DeviCNV: detection and visualization of exon-level copy number variants in targeted next-generation sequencing data

BMC Bioinformatics ◽

10.1186/s12859-018-2409-6 ◽

2018 ◽

Vol 19 (1) ◽

Author(s):

Yeeok Kang ◽

Seong-Hyeuk Nam ◽

Kyung Sun Park ◽

Yoonjung Kim ◽

Jong-Won Kim ◽

...

Keyword(s):

Next Generation Sequencing ◽

Copy Number ◽

Copy Number Variants ◽

Next Generation Sequencing Data ◽

Next Generation ◽

Sequencing Data ◽

Targeted Next Generation Sequencing ◽

Generation Sequencing

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Association of Rare Recurrent Copy Number Variants With Congenital Heart Defects Based on Next-Generation Sequencing Data From Family Trios

Frontiers in Genetics ◽

10.3389/fgene.2019.00819 ◽

2019 ◽

Vol 10 ◽

Author(s):

Yichuan Liu ◽

Xiao Chang ◽

Joseph Glessner ◽

Huiqi Qu ◽

Lifeng Tian ◽

...

Keyword(s):

Next Generation Sequencing ◽

Congenital Heart Defects ◽

Copy Number ◽

Congenital Heart ◽

Heart Defects ◽

Copy Number Variants ◽

Next Generation Sequencing Data ◽

Next Generation ◽

Sequencing Data ◽

Generation Sequencing

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Copy number variants in clinical next-generation sequencing data can define the relationship between simultaneous tumors in an individual patient

Experimental and Molecular Pathology ◽

10.1016/j.yexmp.2014.05.008 ◽

2014 ◽

Vol 97 (1) ◽

pp. 69-73 ◽

Author(s):

Jennifer K. Sehn ◽

Haley J. Abel ◽

Eric J. Duncavage

Keyword(s):

Next Generation Sequencing ◽

Copy Number ◽

Copy Number Variants ◽

Next Generation Sequencing Data ◽

Next Generation ◽

Sequencing Data ◽

The Relationship ◽

Generation Sequencing

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SeqCNV: a novel method for identification of copy number variations in targeted next-generation sequencing data

BMC Bioinformatics ◽

10.1186/s12859-017-1566-3 ◽

2017 ◽

Vol 18 (1) ◽

Author(s):

Yong Chen ◽

Li Zhao ◽

Yi Wang ◽

Ming Cao ◽

Violet Gelowani ◽

...

Keyword(s):

Next Generation Sequencing ◽

Copy Number ◽

Copy Number Variations ◽

Next Generation Sequencing Data ◽

Next Generation ◽

Sequencing Data ◽

Targeted Next Generation Sequencing ◽

Novel Method ◽

Generation Sequencing

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An integrated framework for detection of copy number variation and insertion/deletions using targeted next generation sequencing data

Journal of Clinical & Experimental Pathology ◽

10.4172/2161-0681.c1.025 ◽

2016 ◽

Vol 06 (03) ◽

Author(s):

Bharat Thyagarajan

Keyword(s):

Next Generation Sequencing ◽

Copy Number Variation ◽

Copy Number ◽

Next Generation Sequencing Data ◽

Next Generation ◽

Sequencing Data ◽

Integrated Framework ◽

Targeted Next Generation Sequencing ◽

Number Variation ◽

Generation Sequencing

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Clinical Implications of Copy Number Alteration Detection using Panel-Based Next-Generation Sequencing Data in Myelodysplastic Syndrome

Leukemia Research ◽

10.1016/j.leukres.2021.106540 ◽

2021 ◽

pp. 106540

Author(s):

Yoo-Jin Kim ◽

Seung-Hyun Jung ◽

Eun-Hye Hur ◽

Eun-Ji Choi ◽

Kyoo-Hyung Lee ◽

...

Keyword(s):

Next Generation Sequencing ◽

Myelodysplastic Syndrome ◽

Copy Number ◽

Copy Number Alteration ◽

Next Generation Sequencing Data ◽

Clinical Implications ◽

Next Generation ◽

Sequencing Data ◽

Generation Sequencing

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Detection of copy number variations by pair analysis using next-generation sequencing data in inherited kidney diseases

Clinical and Experimental Nephrology ◽

10.1007/s10157-018-1534-x ◽

2018 ◽

Vol 22 (4) ◽

pp. 881-888 ◽

Author(s):

China Nagano ◽

Kandai Nozu ◽

Naoya Morisada ◽

Masahiko Yazawa ◽

Daisuke Ichikawa ◽

...

Keyword(s):

Next Generation Sequencing ◽

Copy Number ◽

Kidney Diseases ◽

Copy Number Variations ◽

Next Generation Sequencing Data ◽

Next Generation ◽

Sequencing Data ◽

Pair Analysis ◽

Generation Sequencing

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A Deep Learning Approach for Detecting Copy Number Variation in Next-Generation Sequencing Data

G3 Genes|Genome|Genetics ◽

10.1534/g3.119.400596 ◽

2019 ◽

Vol 9 (11) ◽

pp. 3575-3582 ◽

Author(s):

Tom Hill ◽

Robert L. Unckless

Keyword(s):

Deep Learning ◽

Next Generation Sequencing ◽

Copy Number Variation ◽

Copy Number ◽

Next Generation Sequencing Data ◽

Learning Approach ◽

Next Generation ◽

Sequencing Data ◽

Number Variation ◽

Generation Sequencing

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RKDOSCNV: A Local Kernel Density-Based Approach to the Detection of Copy Number Variations by Using Next-Generation Sequencing Data

Frontiers in Genetics ◽

10.3389/fgene.2020.569227 ◽

2020 ◽

Vol 11 ◽

Author(s):

Guojun Liu ◽

Junying Zhang ◽

Xiguo Yuan ◽

Chao Wei

Keyword(s):

Next Generation Sequencing ◽

Copy Number ◽

Kernel Density ◽

Copy Number Variations ◽

Next Generation Sequencing Data ◽

Next Generation ◽

Sequencing Data ◽

Generation Sequencing

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Extraction of Mitochondrial Genome from Whole Genome Next Generation Sequencing Data and Unveiling of Forensically Relevant Markers

Russian Journal of Genetics ◽

10.1134/s1022795420080128 ◽

2020 ◽

Vol 56 (8) ◽

pp. 982-991

Author(s):

S. Rauf ◽

N. Zahra ◽

S. S. Malik ◽

S. A. e Zahra ◽

K. Sughra ◽

...

Keyword(s):

Next Generation Sequencing ◽

Mitochondrial Genome ◽

Next Generation Sequencing Data ◽

Whole Genome ◽

Next Generation ◽

Sequencing Data ◽

Generation Sequencing

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