RDscan: A New Method for Improving Germline and Somatic Variant Calling Based on Read Depth Distribution-Reference-Cited by-同舟云学术

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RDscan: A New Method for Improving Germline and Somatic Variant Calling Based on Read Depth Distribution

Published:2022-09-01 Issue:9 Volume:29 Page:987-1000
ISSN:1557-8666
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Lee Sunho¹²,Hong Seokchol¹^ORCID,Woo Jonathan¹,Lee Jae-hak¹,Kim Kyunghee¹,Kim Lucia³,Park Kunsoo²,Jung Jongsun¹

Affiliation:

1. Genome Data Integration Centre, Syntekabio, Inc., Daejeon, Republic of Korea.

2. Department of Computer Science and Engineering, Seoul National University, Seoul, Republic of Korea.

3. Department of Pathology, Inha University Hospital, Incheon, Republic of Korea.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modeling and Simulation

Link

https://www.liebertpub.com/doi/pdf/10.1089/cmb.2021.0269

Reference20 articles.

1. Development of the variant calling algorithm, ADIScan, and its use to estimate discordant sequences between monozygotic twins

2. Sensitive detection of somatic point mutations in impure and heterogeneous cancer samples

3. A framework for variation discovery and genotyping using next-generation DNA sequencing data

4. Sequence Artifacts in DNA from Formalin-Fixed Tissues: Causes and Strategies for Minimization

5. HLAscan: genotyping of the HLA region using next-generation sequencing data

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