CSV-Filter: a deep learning-based comprehensive structural variant filtering method for both short and long reads

Authors

Junyu Gao (ORCID: https://orcid.org/0000-0001-6000-8168)
Yingbo Cui (ORCID: https://orcid.org/0000-0003-4000-4957)
Xingze Li
Canqun Yang
Tao Tang (ORCID: https://orcid.org/0000-0002-9071-137X)
Zeyu Xia (ORCID: https://orcid.org/0000-0001-7047-7005)
Weiming Xiang (ORCID: https://orcid.org/0000-0001-9065-8428)
Yilin Li (ORCID: https://orcid.org/0000-0002-0029-1325)
Qingzhe Wang

Institutions

Hunan University (CN)
National University of Defense Technology (CN)
Hunan University of Science and Engineering (CN)
Tianjin haihe hospital (CN)
National Supercomputing Center of Tianjin (CN)

Publication Details

Journal: Bioinformatics
Published: 2024-09-01
DOI: https://doi.org/10.1093/bioinformatics/btae539
Citations: 7
Primary Topic: Genetics, Bioinformatics, and Biomedical Research
Type: article
Field-Weighted Citation Impact: 1.64

Funders

National Natural Science Foundation of China
Sun Yat-sen University
National University of Defense Technology

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article

CSV-Filter: a deep learning-based comprehensive structural variant filtering method for both short and long reads

Junyu Gao, Yingbo Cui, Xingze Li, Canqun Yang et al.

Sep 1, 2024

7 citations

Bioinformatics

Genetics, Bioinformatics, and Biomedical Research

1.64

article

CSV-Filter: a deep learning-based comprehensive structural variant filtering method for both short and long reads

Junyu Gao, Yingbo Cui, Xingze Li, Canqun Yang, Tao Tang, Zeyu Xia, Weiming Xiang, Yilin Li, Qingzhe Wang

September 1, 2024article en

7 citations

Abstract

No abstract available for this paper.

BioinformaticsVol. 40(9)

Hunan University (CN), National University of Defense Technology (CN), Hunan University of Science and Engineering (CN), Tianjin haihe hospital (CN), National Supercomputing Center of Tianjin (CN)

National Natural Science Foundation of China, Sun Yat-sen University, National University of Defense Technology

Quality Education

Openalex Percentile: Top 16%

Genetics, Bioinformatics, and Biomedical Research

1.64

DOI Open Access PDF OpenAlex

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