FindCSV: a long-read based method for detecting complex structural variations

FindCSV is a new method to detect complex and simple structural variations with reasonable accuracy in real and simulated data. The source code for the program is available at https://github.com/nwpuzhengyan/FindCSV .

Authors

Xuequn Shang (ORCID: https://orcid.org/0000-0002-7249-8210)
Yan Zheng (ORCID: https://orcid.org/0000-0001-6060-1084)

Institutions

Northwestern Polytechnical University (CN)

Publication Details

Journal: BMC Bioinformatics
Published: 2024-09-28
DOI: https://doi.org/10.1186/s12859-024-05937-w
Primary Topic: Genomics and Phylogenetic Studies
Type: article
Field-Weighted Citation Impact: 0.00

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article

FindCSV: a long-read based method for detecting complex structural variations

Xuequn Shang, Yan Zheng

Sep 28, 2024

BMC Bioinformatics

Genomics and Phylogenetic Studies

article

FindCSV: a long-read based method for detecting complex structural variations

Xuequn Shang, Yan Zheng

September 28, 2024article en

Abstract

BMC BioinformaticsVol. 25(1)

Northwestern Polytechnical University (CN)

Openalex Percentile: Top 85%

Genomics and Phylogenetic Studies

DOI Open Access PDF OpenAlex

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FindCSV: a long-read based method for detecting complex structural variations — Xuequn Shang, Yan Zheng · BMC Bioinformatics (2024) | TGRS Research Map | TGRS