SVLR: Genome Structure Variant Detection Using Long Read Sequencing Data-Reference-Cited by-同舟云学术

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SVLR: Genome Structure Variant Detection Using Long Read Sequencing Data

Published:2020 Issue: Volume: Page:140-153
ISSN:0302-9743
Container-title:Bioinformatics Research and Applications
language:
Short-container-title:

Author:

Gu Wenyan,Zhou Aizhong,Wang Lusheng,Sun Shiwei,Cui Xuefeng,Zhu Daming

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-57821-3_13

Reference32 articles.

1. Antaki, D., Brandler, W.M., Sebat, J.: SV2: accurate structural variation genotyping and de novo mutation detection from whole genomes. Bioinformatics 34, 1774–1777 (2018)

2. Bartenhagen, C., Dugas, M.: Rsvsim: an r/bioconductor package for the simulation of structural variations. Bioinformatics 29, 1679–1681 (2013)

3. Cameron, D.L., Stefano, L.D., Papenfuss, A.T.: Comprehensive evaluation and characterisation of short read general-purpose structural variant calling software. Nat. Commun. 10, 3240 (2019)

4. Carvalho, C.M.B., Lupski, J.R.: Mechanisms underlying structural variant formation in genomic disorders. Nat. Rev. Genet. 17, 224–238 (2016)

5. English, A., Salerno, W., Hampton, O., Gonzaga-Jauregui, C., Ambreth, S., Ritter, D.I., et al.: Assessing structural variation in a personal genome towards a human reference diploid genome. BMC Genom. 16, 286–300 (2015)

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