Research Topic · Peer-Reviewed

Computational Analysis

Computational analysis is the use of mathematical models, algorithms, and computer-based methods to process data, simulate systems, and extract patterns, relationships, and predictions that would be difficult to obtain by direct observation alone. Spanning the in-silico domain of research, it complements laboratory …

Curated from this journal's research 📚 8 peer-reviewed articles cited Cited 30× across the literature 🗓 Reviewed July 2026

Overview

Computational analysis is the use of mathematical models, algorithms, and computer-based methods to process data, simulate systems, and extract patterns, relationships, and predictions that would be difficult to obtain by direct observation alone. Spanning the in-silico domain of research, it complements laboratory and clinical investigation by enabling modeling, simulation, and large-scale data analysis across the life and physical sciences. In biology and medicine, computational analysis underlies bioinformatics and immunogenomics, supporting the interpretation of molecular data, the prediction of regulatory effects such as how single-nucleotide variants alter transcription-factor binding and disease risk, and the in-silico stages of drug design that precede in-vitro and in-vivo testing. Computational modeling also reconstructs the behavior of complex biological systems, for example simulating neuronal firing to investigate mechanisms underlying disorders such as schizophrenia, and in engineering and physical sciences, computational fluid dynamics and related simulations predict the behavior of materials and structures under extreme conditions. The discipline relies on accurate model formulation, validation against empirical data, and appropriate handling of uncertainty and scale. By integrating data from diverse sources and testing hypotheses computationally, this approach accelerates discovery, reduces reliance on costly experiments, and informs decision-making. Computational analysis thus serves as a unifying methodology that links theoretical models, experimental evidence, and practical application across many fields of research.

Research published in this journal

8 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
2016

GR-RNF43 Regulation in Colorectal Cancer

Chan ChristinaCorresponding author
Cell and Molecular Biology Program, Michigan State University, 567 Wilson Road, Rm 2240A, East Lansing, Michigan 48824, USA
Exact topic Proteomics and Genomics Research Cited by 1 doi:10.14302/issn.2326-0793.jpgr-16-941

How this research is being cited

The 8 articles above have been cited 30 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 Computational Analysis, linking to each citing work.

Editorial oversight

Curated from peer-reviewed research published in In-vitro In-vivo In-silico Journal.

Journal editorial board
George Kordas · Russia

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