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3Dmapper: a command line tool for BioBank-scale mapping of variants to protein structures
Victoria Ruiz-Serra1,2, Samuel Valentini3, Sergi Madroñero2
1Barcelona Supercomputing Center (BSC).
Bioinformatics (Oxford, England)
|April 2, 2024
Summary
3Dmapper is a new command-line tool that efficiently maps genomic variants to protein structures. This bioinformatics tool aids in interpreting genomic data by linking genetic variants to their corresponding protein structures for functional analysis.
Area of Science:
- Genomics
- Structural Biology
- Bioinformatics
Background:
- Genomic data interpretation relies on understanding molecular mechanisms.
- Protein structures provide functional context for genetic variants.
- Current gene-to-protein mapping tools are often web-based and unsuitable for large-scale analysis.
Purpose of the Study:
- To develop an efficient and reliable tool for mapping genomic variants to protein structures.
- To address the limitations of existing web-based tools for large-scale genomic data analysis.
Main Methods:
- Developed 3Dmapper, a stand-alone command-line tool.
- Implemented the tool using Python and R programming languages.
- Systematically mapped annotated protein positions and variants to protein structures.
Main Results:
- 3Dmapper provides an efficient and reliable solution for mapping genomic variants to protein structures.
- The tool is well-suited for large-scale genomic data analysis.
- Enables systematic mapping of annotated positions and variants.
Conclusions:
- 3Dmapper facilitates the interpretation of genomic data by providing functional context through protein structure mapping.
- The command-line interface makes it ideal for high-throughput genomic studies.
- Offers a robust alternative to existing web-based mapping tools.
