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A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
Published on: May 22, 2018
ginmappeR: an unified approach for integrating gene and protein identifiers across biological sequence databases
Fernando Sola1, Daniel Ayala1, Marina Pulido2,3,4
1SCORE Lab, DEAL, University of Seville, ETSII, 41012 Seville, Spain.
Summary:
The proliferation of biological sequence data, due to developments in molecular biology techniques, has led to the creation of numerous open access databases on gene and protein sequencing. However, the lack of direct equivalence between identifiers across these databases difficults data integration. To address this challenge, we introduce ginmappeR, an integrated R package facilitating the translation of gene and protein identifiers between databases. By providing a unified interface, ginmappeR streamlines the integration of diverse data sources into biological workflows, so it enhances efficiency and user experience.
Availability And Implementation:
from Bioconductor: https://bioconductor.org/packages/ginmappeR.
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