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Bioinformatics Tools and Databases for Functional Annotation of Genomes

Fareeha Ashraf Warsi

Abstract


Functional annotation of genomes plays a crucial role in understanding the functions and characteristics of genes. Bioinformatics tools and databases have greatly contributed to this field by providing valuable resources for gene function prediction, pathway analysis, and comparative genomics. This abstract provides an overview of these tools and databases and highlights their significance in functional annotation. Ensembl is a popular bioinformatics tool that offers comprehensive genome annotation and browsing capabilities. It enables researchers to access annotated genes, transcripts, and regulatory elements, facilitating gene function prediction. Gene Ontology (GO) is a widely used resource that organizes genes into functional categories. By assigning GO terms to genes, researchers can predict their functions and conduct GO enrichment analysis to identify overrepresented functional categories. The functional annotation workflow typically involves preprocessing of genomic data, genome assembly, gene prediction, function prediction, pathway analysis, and integration of multiple resources for comprehensive annotation. Comparative genomics plays a crucial role in functional annotation by leveraging similarities across species. Despite the advancements in functional annotation, challenges and limitations remain. Incomplete and inaccurate annotations, along with the difficulty in predicting gene functions accurately, pose significant hurdles. Additionally, integrating and interpreting multiple annotations can be complex. In conclusion, bioinformatics tools and databases have revolutionized functional annotation by providing researchers with valuable resources for gene function prediction, pathway analysis, and comparative genomics. Enhanced functional annotation has the potential to greatly impact biomedical research by unraveling the mysteries of gene functions and their roles in various biological processes.

Keywords


Genomes, Functional Annotation, Database, Pathways, Bioinformatics.

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References


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DOI: https://doi.org/10.37591/rrjocb.v12i1.3193

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