Gintegrator: Enhancing biological sequences data integration with real-time identifier translation

Abstract

Advancements in genomic and proteomic sequencing, along with molecular biology techniques, have led to the generation of vast amounts of sequence data stored in different collaborative databases. The integration of these heterogeneous data sources holds immense potential for advancing our understanding of biological systems and processes, although it presents several challenges due to inconsistencies in formats and annotations. To address this, we introduce Gintegrator, a web application that streamlines the process of translating gene and protein identifiers across major sequence databases such as NCBI, UniProt and KEGG. By introducing the use of identical or similar genes and proteins in the translation workflow, and performing real-time queries to access the most recent data, Gintegrator enhances both the accuracy and success rate of identifier mapping, while also facilitating efficient and reliable biological data integration and analysis for researchers.