Research Topic · Peer-Reviewed

Bioinformatics

Bioinformatics is an interdisciplinary field that applies computational, statistical, and algorithmic methods to acquire, store, analyze, and interpret biological data, particularly molecular sequences and high-throughput datasets. Combining computer science, mathematics, and the life sciences, it underpins genomics…

Curated from this journal's research 📚 12 peer-reviewed articles cited Cited 61× across the literature 🔖 ISSN 2643-2811 🗓 Reviewed October 2026

Overview

Bioinformatics is an interdisciplinary field that applies computational, statistical, and algorithmic methods to acquire, store, analyze, and interpret biological data, particularly molecular sequences and high-throughput datasets. Combining computer science, mathematics, and the life sciences, it underpins genomics, transcriptomics, proteomics, and metabolomics, enabling sequence alignment, variant interpretation, structural prediction, network and pathway analysis, and the integration of multi-omics information to generate biological and clinical insight. Bioinformatic approaches are central to biomarker discovery, disease mechanism elucidation, and therapeutic target identification. Research grouped under this topic illustrates bioinformatics across biotechnology and biomedicine. Studies examine the emerging role of bioinformatics in biotechnology, the Human Proteome Project and computational status in disease diagnosis and treatment, and metabolomics analysis in type 2 diabetes. Disease-oriented work includes variant interpretation in BRCA1, microRNA regulation of gene expression, bioinformatic analysis of coronary-disease-associated genes and proteins in atherosclerosis, circular RNAs in neurodegeneration, and quantitative microRNA screening for colorectal cancer. Additional studies on molecular strain identification and network-pharmacology-based target prediction demonstrate computational integration with experimental biology. This peer-reviewed literature supports researchers applying computational analysis to genomic, proteomic, and clinical questions, and to the discovery of biomarkers and drug targets.

Research published in this journal

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

How this research is being cited

The 12 articles above have been cited 61 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, linking to each citing work.

Editorial oversight

Curated from peer-reviewed research published in Model Based Research (ISSN 2643-2811).

Journal editorial board
Ghanshyam Govindbhai Tejani · India Yang Chen · United States Yin-Quan Tang · Malaysia

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