International Journal of Bioinformatics Research and Applications

Aims & Scope

Bioinformatics is an interdisciplinary research field that combines biology, computer science, mathematics and statistics into a broad-based field that will have profound impacts on all fields of biology.

The emphasis of IJBRA is on basic bioinformatics research methods, tool development, performance evaluation and their applications in biology.

IJBRA addresses the most innovative developments, research issues and solutions in bioinformatics and computational biology and their applications.

Topics covered include Databases, bio-grid, system biology Biomedical image processing, modelling and simulation Bio-ontology and data mining, DNA assembly, clustering, mapping Computational genomics/proteomics Silico technology: computational intelligence, high performance computing E-health, telemedicine Gene expression, microarrays, identification, annotation Genetic algorithms, fuzzy logic, neural networks, data visualisation Hidden Markov models, machine learning, support vector machines Molecular evolution, phylogeny, modelling, simulation, sequence analysis Parallel algorithms/architectures, computational structural biology Phylogeny reconstruction algorithms, physiome, protein structure prediction Sequence assembly, search, alignment Signalling/computational biomedical data engineering Simulated annealing, statistical analysis, stochastic grammars.

View Aims & Scope

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Metrics & Ranking

Journal Rank

Year	Value
2024	26183

Journal Citation Indicator

Year	Value
2024	81

SJR (SCImago Journal Rank)

Year	Value
2024	0.132

Quartile

Year	Value
2024	Q4

h-index

Year	Value
2024	20

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Biochemistry, Genetics and Molecular Biology, Engineering, Health Professions and Medicine, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• The <SUP align=right>my</SUP>Grid ontology: bioinformatics service discovery

  Citation: 67

  Authors: K., P., D., C., P.W., R.D., C.A

• MEGA biocentric software for sequence and phylogenetic analysis: a review

  Citation: 55

  Authors: Vipan Kumar, Apurba, Amarpal

• Identification of motor imagery tasks through CC-LR algorithm in brain computer interface

  Citation: 49

  Authors: N.A., Yan, Peng

• Assessing and improving the accuracy of detecting protein adaptation with the TreeSAAP analytical software

  Citation: 40

  Authors: David A., David D.

• Phylogenetic analysis using complete signature information of whole genomes and clustered Neighbour-Joining method

  Citation: 40

  Authors: Xiaomeng, Xiu Feng, Gang, Dong, Guohui

• Development of Predictive Model of Diabetic Using Supervised Machine Learning Classification Algorithm of Ensemble Voting

  Citation: 35

  Authors: R., Shynu, Suman Rajest, Madhubrata, Debabrata, S.Silvia

• A novel approach to medical image compression

  Citation: 29

  Authors: Matthew J., Terrance, Tunc

• Molecular docking and in vitro evaluations of Hippocampus trimaculatus (seahorse) extracts as the anti-inflammatory compounds

  Citation: 27

  Authors: Manikandan, Samuthirapandian, Kaliyaperumal, Sivakumar, Rethna

• A survey of predictive analytics using big data with data mining

  Citation: 24

  Authors: S., M.

• microRNA: human disease and development

  Citation: 24

  Authors: Virendra S., Akshay N.

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