cnnLSV: detecting structural variants by encoding long-read alignment information and convolutional neural network

cnnLSV: detecting structural variants by encoding long-read alignment information and convolutional neural network

Abstract Background Genomic structural variant detection is a significant and challenging issue in genome analysis. The existing long-read based structural variant detection methods still have space for improvement in detecting multi-type structural variants. Results In this paper, we propose a meth...

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Bibliographic Details
Main Authors: Huidong Ma, Cheng Zhong, Danyang Chen, Haofa He, Feng Yang
Format: Article
Language:English
Published: BMC 2023-03-01
Series:BMC Bioinformatics
Subjects:
Structural variant detection
Long reads
Encoding alignment information
Convolutional neural network
Online Access:https://doi.org/10.1186/s12859-023-05243-x

Internet

https://doi.org/10.1186/s12859-023-05243-x

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