insilicoSV: a flexible grammar-based framework for structural variant simulation and placement

Authors

Victoria Popic (ORCID: https://orcid.org/0000-0003-3181-5432)
Chris Rohlicek
Enzo Battistella (ORCID: https://orcid.org/0000-0001-7053-5666)
Ilya Shlyakhter (ORCID: https://orcid.org/0000-0002-9854-5118)
Ning Jiang (ORCID: https://orcid.org/0000-0003-4549-6372)

Institutions

Broad Institute (US)
University of California, Berkeley (US)

Publication Details

Journal: Bioinformatics
Published: 2025-10-28
DOI: https://doi.org/10.1093/bioinformatics/btaf594
Citations: 1
Primary Topic: Model-Driven Software Engineering Techniques
Type: article
Field-Weighted Citation Impact: 2.31

Funders

Broad Institute
National Institutes of Health

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article

insilicoSV: a flexible grammar-based framework for structural variant simulation and placement

Victoria Popic, Chris Rohlicek, Enzo Battistella, Ilya Shlyakhter et al.

Oct 28, 2025

1 citations

Bioinformatics

Model-Driven Software Engineering Techniques

2.31

article

insilicoSV: a flexible grammar-based framework for structural variant simulation and placement

Victoria Popic, Chris Rohlicek, Enzo Battistella, Ilya Shlyakhter, Ning Jiang

October 28, 2025article en

1 citations

Abstract

No abstract available for this paper.

BioinformaticsVol. 41(11)

Broad Institute (US), University of California, Berkeley (US)

Broad Institute, National Institutes of Health

Openalex Percentile: Top 9%

Model-Driven Software Engineering Techniques

2.31

DOI Open Access PDF OpenAlex

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