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GrassSV - hybrid method to detect structural variants in high throughput DNA-seq data.

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Title: GrassSV - hybrid method to detect structural variants in high throughput DNA-seq data.
Authors: Witczak D; Institute of Computing Science, Poznan University of Technology, Poznan, Poland.; ECBiG, European Center of Bioinformatics and Genomics, Poznan University of Technology, Poznan, Poland., Sychla K; Institute of Computing Science, Poznan University of Technology, Poznan, Poland., Wysocka J; Institute of Computing Science, Poznan University of Technology, Poznan, Poland., Laskowski A; Institute of Computing Science, Poznan University of Technology, Poznan, Poland.; ECBiG, European Center of Bioinformatics and Genomics, Poznan University of Technology, Poznan, Poland., Frohmberg W; Institute of Computing Science, Poznan University of Technology, Poznan, Poland.; ECBiG, European Center of Bioinformatics and Genomics, Poznan University of Technology, Poznan, Poland., Glowacka M; Institute of Computing Science, Poznan University of Technology, Poznan, Poland., Dzik A; Institute of Computing Science, Poznan University of Technology, Poznan, Poland.; ECBiG, European Center of Bioinformatics and Genomics, Poznan University of Technology, Poznan, Poland., Lukasiak P; Institute of Computing Science, Poznan University of Technology, Poznan, Poland.; ECBiG, European Center of Bioinformatics and Genomics, Poznan University of Technology, Poznan, Poland., Blazewicz J; Institute of Computing Science, Poznan University of Technology, Poznan, Poland.; ECBiG, European Center of Bioinformatics and Genomics, Poznan University of Technology, Poznan, Poland.; Institute of Bioorganic Chemistry, Polish Academy of Sciences, Poznan, Poland., Swiercz A; Institute of Computing Science, Poznan University of Technology, Poznan, Poland.; ECBiG, European Center of Bioinformatics and Genomics, Poznan University of Technology, Poznan, Poland.; Institute of Bioorganic Chemistry, Polish Academy of Sciences, Poznan, Poland.
Source: PLoS computational biology [PLoS Comput Biol] 2026 Jun 22; Vol. 22 (6), pp. e1014406. Date of Electronic Publication: 2026 Jun 22 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: GrassSV - hybrid method to detect structural variants in high throughput DNA-seq data.
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  Data: <searchLink fieldCode="AU" term="%22Witczak+D%22">Witczak D</searchLink>; Institute of Computing Science, Poznan University of Technology, Poznan, Poland.; ECBiG, European Center of Bioinformatics and Genomics, Poznan University of Technology, Poznan, Poland.<br /><searchLink fieldCode="AU" term="%22Sychla+K%22">Sychla K</searchLink>; Institute of Computing Science, Poznan University of Technology, Poznan, Poland.<br /><searchLink fieldCode="AU" term="%22Wysocka+J%22">Wysocka J</searchLink>; Institute of Computing Science, Poznan University of Technology, Poznan, Poland.<br /><searchLink fieldCode="AU" term="%22Laskowski+A%22">Laskowski A</searchLink>; Institute of Computing Science, Poznan University of Technology, Poznan, Poland.; ECBiG, European Center of Bioinformatics and Genomics, Poznan University of Technology, Poznan, Poland.<br /><searchLink fieldCode="AU" term="%22Frohmberg+W%22">Frohmberg W</searchLink>; Institute of Computing Science, Poznan University of Technology, Poznan, Poland.; ECBiG, European Center of Bioinformatics and Genomics, Poznan University of Technology, Poznan, Poland.<br /><searchLink fieldCode="AU" term="%22Glowacka+M%22">Glowacka M</searchLink>; Institute of Computing Science, Poznan University of Technology, Poznan, Poland.<br /><searchLink fieldCode="AU" term="%22Dzik+A%22">Dzik A</searchLink>; Institute of Computing Science, Poznan University of Technology, Poznan, Poland.; ECBiG, European Center of Bioinformatics and Genomics, Poznan University of Technology, Poznan, Poland.<br /><searchLink fieldCode="AU" term="%22Lukasiak+P%22">Lukasiak P</searchLink>; Institute of Computing Science, Poznan University of Technology, Poznan, Poland.; ECBiG, European Center of Bioinformatics and Genomics, Poznan University of Technology, Poznan, Poland.<br /><searchLink fieldCode="AU" term="%22Blazewicz+J%22">Blazewicz J</searchLink>; Institute of Computing Science, Poznan University of Technology, Poznan, Poland.; ECBiG, European Center of Bioinformatics and Genomics, Poznan University of Technology, Poznan, Poland.; Institute of Bioorganic Chemistry, Polish Academy of Sciences, Poznan, Poland.<br /><searchLink fieldCode="AU" term="%22Swiercz+A%22">Swiercz A</searchLink>; Institute of Computing Science, Poznan University of Technology, Poznan, Poland.; ECBiG, European Center of Bioinformatics and Genomics, Poznan University of Technology, Poznan, Poland.; Institute of Bioorganic Chemistry, Polish Academy of Sciences, Poznan, Poland.
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  Data: <searchLink fieldCode="JN" term="%22101238922%22">PLoS computational biology</searchLink> [PLoS Comput Biol] 2026 Jun 22; Vol. 22 (6), pp. e1014406. <i>Date of Electronic Publication: </i>2026 Jun 22 (<i>Print Publication: </i>2026).
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