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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Bioinformatics_Martinez-MIllan_2024.pdf | 977.95 kB | Adobe PDF | View/Open |
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