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VALOR2: characterization of large-scale structural variants using linked-reads.


ABSTRACT: Most existing methods for structural variant detection focus on discovery and genotyping of deletions, insertions, and mobile elements. Detection of balanced structural variants with no gain or loss of genomic segments, for example, inversions and translocations, is a particularly challenging task. Furthermore, there are very few algorithms to predict the insertion locus of large interspersed segmental duplications and characterize translocations. Here, we propose novel algorithms to characterize large interspersed segmental duplications, inversions, deletions, and translocations using linked-read sequencing data. We redesign our earlier algorithm, VALOR, and implement our new algorithms in a new software package, called VALOR2.

SUBMITTER: Karaoglanoglu F 

PROVIDER: S-EPMC7083023 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

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VALOR2: characterization of large-scale structural variants using linked-reads.

Karaoğlanoğlu Fatih F   Ricketts Camir C   Ebren Ezgi E   Rasekh Marzieh Eslami ME   Hajirasouliha Iman I   Alkan Can C  

Genome biology 20200319 1


Most existing methods for structural variant detection focus on discovery and genotyping of deletions, insertions, and mobile elements. Detection of balanced structural variants with no gain or loss of genomic segments, for example, inversions and translocations, is a particularly challenging task. Furthermore, there are very few algorithms to predict the insertion locus of large interspersed segmental duplications and characterize translocations. Here, we propose novel algorithms to characteriz  ...[more]

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