Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/218620
Title: OpenVariant: a toolkit to parse and operate multiple input file formats
Author: Martínez Millan, David
Brando, Federica
Grau Lopez, Miguel
Sánchez Guixe, Monica
Elorduy, Carlos
Reyes Salazar, Iker
Deu Pons, Jordi
López Bigas, Núria
Gonzalez Perez, Abel David
Keywords: Biologia computacional
ADN
Computational biology
DNA
Issue Date: 12-Dec-2024
Publisher: Oxford University Press
Abstract: Advances in high-throughput DNA sequencing technologies and decreasing costs have fueled the identification of small genetic variants (such as single nucleotide variants and indels) across tumors. Despite efforts to standardize variant formats and vocabularies, many sources of variability persist across databases and computational tools that annotate variants, hindering their integration within cancer genomic analyses. In this context, we present OpenVariant, an easily extendable Python package that facilitates seamless reading, parsing and refinement of diverse input file formats in a customizable structure, all within a single process.
Note: Reproducció del document publicat a: https://doi.org/10.1093/bioinformatics/btae714
It is part of: Bioinformatics, 2024, vol. 40, num. 12
URI: https://hdl.handle.net/2445/218620
Related resource: https://doi.org/10.1093/bioinformatics/btae714
ISSN: 1367-4811
Appears in Collections:Articles publicats en revistes (Institut de Recerca Biomèdica (IRB Barcelona))

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