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International Journal of Bioinformatics Research and Applications (IJBRA) is a peer-reviewed journal dedicated to advancing the field of bioinformatics, which combines biology, computer science, and information technology to analyze and interpret biological data.
Objective: The primary objective of the International Journal of Bioinformatics Research and Applications is to provide a comprehensive platform for the dissemination of significant research and innovative methodologies in bioinformatics. The journal aims to publish original research papers, review articles, case studies, and technical notes that contribute to the development and application of bioinformatics tools and techniques.
Interdisciplinary Approach: The journal adopts an interdisciplinary approach by bridging the gap between life sciences and computational sciences. It covers a wide range of topics, including sequence analysis, gene expression data analysis, structural bioinformatics, systems biology, computational genomics, and proteomics. This approach fosters collaboration among researchers from diverse fields, including biology, medicine, computer science, mathematics, and engineering.
Impact and Significance: The International Journal of Bioinformatics Research and Applications plays a crucial role in the bioinformatics community by highlighting the latest developments and applications of computational methods in biology. It is an important resource for researchers, academics, and practitioners who are involved in the study and application of bioinformatics. The journals contributions help advance our understanding of complex biological systems, leading to breakthroughs in areas such as personalized medicine, drug discovery, and disease prevention.
Journal Home: Journal Homepage
Editor-in-Chief: Prof. Yi Pan
scope:
The International Journal of Bioinformatics Research and Applications is a scholarly publication dedicated to the advancement of bioinformatics, a field at the intersection of biology, computer science, and information technology. The journal focuses on research that applies computational and statistical methods to the analysis and interpretation of biological data.
Key Areas Covered:
1. Genomics and Proteomics:
Research on the computational analysis of genomic and proteomic data, including sequence alignment, gene prediction, and protein structure prediction.
2. Systems Biology:
Studies that use bioinformatics tools to model and analyze complex biological systems, including metabolic networks, signal transduction pathways, and cellular processes.
3. Computational Biology:
Research focused on the development and application of algorithms and models to solve biological problems, including phylogenetics, evolutionary biology, and population genetics.
4. Data Mining and Machine Learning:
Application of data mining and machine learning techniques to biological datasets, including the identification of biomarkers, drug discovery, and personalized medicine.
5. Biomedical Informatics:
Studies that integrate bioinformatics with clinical data to support medical decision-making, disease diagnosis, and treatment planning.
6. Structural Bioinformatics:
Research on the computational modeling and analysis of biomolecular structures, including protein-ligand interactions, docking studies, and molecular dynamics simulations.
7. Functional Genomics:
Investigation of gene function and regulation using bioinformatics tools, including gene expression analysis, epigenomics, and RNA sequencing.
8. Metagenomics and Microbiome Analysis:
Research on the analysis of microbial communities through metagenomics, including the study of microbial diversity, ecology, and interactions with hosts.
9. Bioinformatics Tools and Software Development:
Development of new bioinformatics software, databases, and tools that support biological research, including web-based platforms, visualization tools, and computational frameworks.
10. Comparative Genomics:
Comparative analysis of genomes across different species to identify evolutionary relationships, gene conservation, and functional elements.
11. Computational Drug Design:
Research focused on the use of computational methods for drug discovery, including virtual screening, pharmacophore modeling, and quantitative structure-activity relationship (QSAR) studies.
12. Bioinformatics Education and Training:
Studies that address the challenges and innovations in bioinformatics education, including curriculum development, online learning, and interdisciplinary training.
13. High-Throughput Data Analysis:
Analysis of large-scale biological datasets generated by high-throughput technologies, including next-generation sequencing, microarrays, and mass spectrometry.
14. Integration of Omics Data:
Research on the integration of data from multiple omics layers, such as genomics, transcriptomics, proteomics, and metabolomics, to gain a holistic understanding of biological systems.
15. Ethical, Legal, and Social Issues (ELSI) in Bioinformatics:
Exploration of the ethical, legal, and social implications of bioinformatics research, including data privacy, intellectual property, and the impact of bioinformatics on society.
Print ISSN: 1744-5485
Electronic ISSN: 1744-5493
Abstracting and Indexing: Scopus
Imapct Factor :
Subject Area and Category: Biochemistry, Genetics and Molecular Biology,Clinical Biochemistry,Engineering,Biomedical Engineering,Health Professions,Health Information Management
Publication Frequency:
H Index: 19
Q1:
Q2:
Q3:
Q4: Biomedical Engineering
Cite Score: 0.6
SNIP: 0.103
Journal Rank(SJR): 0.138
Guidelines for Authors: International Journal of Bioinformatics Research and Applications Author Guidelines
Publisher: Inderscience Enterprises Ltd.
Country: United Kingdom
