SAAS-CNV: A Joint Segmentation Approach on Aggregated and Allele Specific Signals for the Identification of Somatic Copy Number Alterations with Next-Generation Sequencing Data

Copy Number ◽

Copy Number Alterations ◽

Next Generation ◽

Sequencing Data ◽

Segmentation Approach ◽

Allele Specific ◽

Generation Sequencing ◽

Somatic Copy Number Alterations

Assessing Copy Number Alterations in Targeted, Amplicon-Based Next-Generation Sequencing Data

Journal of Molecular Diagnostics ◽

10.1016/j.jmoldx.2014.09.008 ◽

2015 ◽

Vol 17 (1) ◽

pp. 53-63 ◽

Cited By ~ 81

Author(s):

Catherine Grasso ◽

Timothy Butler ◽

Katherine Rhodes ◽

Michael Quist ◽

Tanaya L. Neff ◽

...

Keyword(s):

Copy Number ◽

Copy Number Alterations ◽

Next Generation ◽

Sequencing Data ◽

Identification of copy number alterations in colon cancer from analysis of amplicon-based next generation sequencing data

Oncotarget ◽

10.18632/oncotarget.24912 ◽

2018 ◽

Vol 9 (29) ◽

pp. 20409-20425 ◽

Cited By ~ 5

Author(s):

Duarte Mendes Oliveira ◽

Gianluca Santamaria ◽

Carmelo Laudanna ◽

Simona Migliozzi ◽

Pietro Zoppoli ◽

...

Keyword(s):

Colon Cancer ◽

Copy Number ◽

Copy Number Alterations ◽

Next Generation ◽

Sequencing Data ◽

Enhanced Bayesian detection for copy number alterations from next-generation sequencing data

10.1109/bibm52615.2021.9669548 ◽

2021 ◽

Author(s):

Zhenhua Yu ◽

Fang Du

Keyword(s):

Copy Number ◽

Copy Number Alterations ◽

Next Generation ◽

Sequencing Data ◽

The algorithm of equal acceptance region for detecting copy number alterations: applications to next-generation sequencing data

International Journal of Bioinformatics Research and Applications ◽

10.1504/ijbra.2012.048969 ◽

2012 ◽

Vol 8 (3/4) ◽

pp. 245

Author(s):

Yan Xia Lin

Keyword(s):

Copy Number ◽

Copy Number Alterations ◽

Next Generation ◽

Sequencing Data ◽

Acceptance Region ◽

CNV-CH: A Convex Hull Based Segmentation Approach to Detect Copy Number Variations (CNV) Using Next-Generation Sequencing Data

PLoS ONE ◽

10.1371/journal.pone.0135895 ◽

2015 ◽

Vol 10 (8) ◽

pp. e0135895 ◽

Cited By ~ 4

Author(s):

Rituparna Sinha ◽

Sandip Samaddar ◽

Rajat K. De

Keyword(s):

Convex Hull ◽

Copy Number ◽

Copy Number Variations ◽

Next Generation ◽

Sequencing Data ◽

Segmentation Approach ◽

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):

Myelodysplastic Syndrome ◽

Copy Number ◽

Copy Number Alteration ◽

Clinical Implications ◽

Next Generation ◽

Sequencing Data ◽

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 ◽

Cited By ~ 14

Author(s):

China Nagano ◽

Kandai Nozu ◽

Naoya Morisada ◽

Masahiko Yazawa ◽

Daisuke Ichikawa ◽

...

Keyword(s):

Copy Number ◽

Kidney Diseases ◽

Copy Number Variations ◽

Next Generation ◽

Sequencing Data ◽

Pair Analysis ◽

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 ◽

Cited By ~ 5

Author(s):

Tom Hill ◽

Robert L. Unckless

Keyword(s):

Deep Learning ◽

Copy Number Variation ◽

Copy Number ◽

Learning Approach ◽

Next Generation ◽

Sequencing Data ◽

Number Variation ◽

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):

Copy Number ◽

Kernel Density ◽

Copy Number Variations ◽

Next Generation ◽

Sequencing Data ◽

cn.MOPS: mixture of Poissons for discovering copy number variations in next-generation sequencing data with a low false discovery rate

Nucleic Acids Research ◽

10.1093/nar/gks003 ◽

2012 ◽

Vol 40 (9) ◽

pp. e69-e69 ◽

Cited By ~ 239

Author(s):

Günter Klambauer ◽

Karin Schwarzbauer ◽

Andreas Mayr ◽

Djork-Arné Clevert ◽

Andreas Mitterecker ◽

...

Keyword(s):

False Discovery Rate ◽

Copy Number ◽

Copy Number Variations ◽

Next Generation ◽

Sequencing Data ◽

False Discovery ◽