Research Topic · Peer-Reviewed

Bioinformatics Tools for Genomics

Bioinformatics tools for genomics are the computational methods, algorithms, software, and databases used to store, process, analyse, and interpret genome-scale biological data. They convert raw sequence and high-throughput measurements into biological meaning by aligning sequences, identifying variants, annotating …

Curated from this journal's research 📚 7 peer-reviewed articles cited Cited 16× across the literature 🔖 ISSN 2326-0793 🗓 Reviewed July 2026

Overview

Bioinformatics tools for genomics are the computational methods, algorithms, software, and databases used to store, process, analyse, and interpret genome-scale biological data. They convert raw sequence and high-throughput measurements into biological meaning by aligning sequences, identifying variants, annotating genes and regulatory elements, predicting protein structure and function, and integrating multi-omic datasets. As genomic and proteomic experiments generate volumes of data far beyond manual analysis, these tools are indispensable across biotechnology, medical research, and personalised medicine. Typical applications include cataloguing the human proteome, mapping disease-associated genetic variants and the proteins they affect, modelling metabolic and signalling pathways, and discovering molecular biomarkers for diagnosis and treatment. In cancer and complex disease, bioinformatic pipelines link single-nucleotide polymorphisms, gene expression, and protein data to pathogenic mechanisms, supporting diagnostics and tailored therapy. The field also encompasses comparative and functional genomics, where computational analysis reveals variability across species, infers gene function, and characterises organisms ranging from pathogens to crop plants. Core capabilities span sequence databases, alignment and assembly software, variant-calling and annotation pipelines, statistical and machine-learning frameworks, and visualisation systems. By making large, heterogeneous datasets tractable and interpretable, bioinformatics tools for genomics accelerate discovery, underpin reproducible analysis, and translate molecular information into actionable insight for research and clinical care.

Research published in this journal

7 peer-reviewed articles, ranked by relevance. Each links to its DOI.

2018

The Emerging Role of Bioinformatics in Biotechnology

Tabassum Khan NidaCorresponding author
Department of Biotechnology, Faculty of Life Sciences and Informatics, Balochistan University of Information Technology Engineering and Management Sciences,(BUITEMS),Quetta, Pakistan
Biotechnology and Biomedical Science Cited by 7 doi:10.14302/issn.2576-6694.jbbs-18-2173
2018

Molecular Biomarkers: A Brief Review

Tarassishin LeonidCorresponding author
 Department of Biological Sciences.
Proteomics and Genomics Research doi:10.14302/issn.2326-0793.jpgr-18-2418

How this research is being cited

The 7 articles above have been cited 16 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.

A sample of recent works citing this journal's research on Bioinformatics Tools for Genomics, linking to each citing work.

Editorial oversight

Curated from peer-reviewed research published in Proteomics and Genomics Research (ISSN 2326-0793).

Journal editorial board
Sutopa Dwivedi · United States Liuyang Wang · United States Juan Sainz · Spain

This page summarises published research for orientation; it is not medical or professional advice.