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3Dmapper: a command line tool for BioBank-scale mapping of variants to protein structures.

Authors :
Ruiz-Serra, Victoria
Valentini, Samuel
MadroƱero, Sergi
Valencia, Alfonso
Porta-Pardo, Eduard
Source :
Bioinformatics. Apr2024, Vol. 40 Issue 4, p1-5. 5p.
Publication Year :
2024

Abstract

Motivation The interpretation of genomic data is crucial to understand the molecular mechanisms of biological processes. Protein structures play a vital role in facilitating this interpretation by providing functional context to genetic coding variants. However, mapping genes to proteins is a tedious and error-prone task due to inconsistencies in data formats. Over the past two decades, numerous tools and databases have been developed to automatically map annotated positions and variants to protein structures. However, most of these tools are web-based and not well-suited for large-scale genomic data analysis. Results To address this issue, we introduce 3Dmapper, a stand-alone command-line tool developed in Python and R. It systematically maps annotated protein positions and variants to protein structures, providing a solution that is both efficient and reliable. Availability and implementation https://github.com/vicruiser/3Dmapper [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13674803
Volume :
40
Issue :
4
Database :
Academic Search Index
Journal :
Bioinformatics
Publication Type :
Academic Journal
Accession number :
176933437
Full Text :
https://doi.org/10.1093/bioinformatics/btae171