Literature DB >> 28583483

Toolkit for automated and rapid discovery of structural variants.

Arda Soylev1, Can Kockan1, Fereydoun Hormozdiari2, Can Alkan3.   

Abstract

Structural variations (SV) are broadly defined as genomic alterations that affect >50bp of DNA, which are shown to have significant effect on evolution and disease. The advent of high throughput sequencing (HTS) technologies and the ability to perform whole genome sequencing (WGS), makes it feasible to study these variants in depth. However, discovery of all forms of SV using WGS has proven to be challenging as the short reads produced by the predominant HTS platforms (<200bp for current technologies) and the fact that most genomes include large amounts of repeats make it very difficult to unambiguously map and accurately characterize such variants. Furthermore, existing tools for SV discovery are primarily developed for only a few of the SV types, which may have conflicting sequence signatures (i.e. read pairs, read depth, split reads) with other, untargeted SV classes. Here we are introduce a new framework, Tardis, which combines multiple read signatures into a single package to characterize most SV types simultaneously, while preventing such conflicts. Tardis also has a modular structure that makes it easy to extend for the discovery of additional forms of SV.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Combinatorial algorithms; High throughput sequencing; Structural variation

Mesh:

Year:  2017        PMID: 28583483     DOI: 10.1016/j.ymeth.2017.05.030

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  10 in total

1.  Discovery of tandem and interspersed segmental duplications using high-throughput sequencing.

Authors:  Arda Soylev; Thong Minh Le; Hajar Amini; Can Alkan; Fereydoun Hormozdiari
Journal:  Bioinformatics       Date:  2019-10-15       Impact factor: 6.937

2.  A comprehensive benchmarking of WGS-based deletion structural variant callers.

Authors:  Varuni Sarwal; Sebastian Niehus; Ram Ayyala; Minyoung Kim; Aditya Sarkar; Sei Chang; Angela Lu; Neha Rajkumar; Nicholas Darfci-Maher; Russell Littman; Karishma Chhugani; Arda Soylev; Zoia Comarova; Emily Wesel; Jacqueline Castellanos; Rahul Chikka; Margaret G Distler; Eleazar Eskin; Jonathan Flint; Serghei Mangul
Journal:  Brief Bioinform       Date:  2022-07-18       Impact factor: 13.994

3.  Meltos: multi-sample tumor phylogeny reconstruction for structural variants.

Authors:  Camir Ricketts; Daniel Seidman; Victoria Popic; Fereydoun Hormozdiari; Serafim Batzoglou; Iman Hajirasouliha
Journal:  Bioinformatics       Date:  2020-02-15       Impact factor: 6.937

4.  Machine learning methods and systems for data-driven discovery in biomedical informatics.

Authors:  Sungroh Yoon; Seunghak Lee; Wei Wang
Journal:  Methods       Date:  2017-10-01       Impact factor: 3.608

5.  ClinSV: clinical grade structural and copy number variant detection from whole genome sequencing data.

Authors:  Andre E Minoche; Ben Lundie; Greg B Peters; Thomas Ohnesorg; Mark Pinese; David M Thomas; Andreas Zankl; Tony Roscioli; Nicole Schonrock; Sarah Kummerfeld; Leslie Burnett; Marcel E Dinger; Mark J Cowley
Journal:  Genome Med       Date:  2021-02-25       Impact factor: 11.117

6.  SVXplorer: Three-tier approach to identification of structural variants via sequential recombination of discordant cluster signatures.

Authors:  Kunal Kathuria; Aakrosh Ratan
Journal:  PLoS Comput Biol       Date:  2020-03-17       Impact factor: 4.475

7.  Kevlar: A Mapping-Free Framework for Accurate Discovery of De Novo Variants.

Authors:  Daniel S Standage; C Titus Brown; Fereydoun Hormozdiari
Journal:  iScience       Date:  2019-07-23

8.  Analysis of unmapped regions associated with long deletions in Korean whole genome sequences based on short read data.

Authors:  Yuna Lee; Kiejung Park; Insong Koh
Journal:  Genomics Inform       Date:  2019-12-20

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

Authors:  Fatih Karaoğlanoğlu; Camir Ricketts; Ezgi Ebren; Marzieh Eslami Rasekh; Iman Hajirasouliha; Can Alkan
Journal:  Genome Biol       Date:  2020-03-19       Impact factor: 13.583

10.  Deciphering complex genome rearrangements in C. elegans using short-read whole genome sequencing.

Authors:  Tatiana Maroilley; Xiao Li; Matthew Oldach; Francesca Jean; Susan J Stasiuk; Maja Tarailo-Graovac
Journal:  Sci Rep       Date:  2021-09-14       Impact factor: 4.379

  10 in total

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