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IEEE-ACM Transactions on Computational Biology and Bioinformatics | 2024 Impact Factor:3.4 | Cite Score:9.7 | Q2

IEEE-ACM Transactions on Computational Biology and Bioinformatics Journal

Impact Factor and Journal Rank of IEEE-ACM Transactions on Computational Biology and Bioinformatics

  • About: Objective:
    IEEE-ACM Transactions on Computational Biology and Bioinformatics aims to publish high-quality research papers that advance the field of computational biology and bioinformatics. The journal focuses on the application of computational methods, algorithms, and technologies to solve biological and biomedical problems, fostering interdisciplinary research and innovation.
  • Publication Focus:
    Computational Methods: Development and application of computational techniques, algorithms, and models in biology and bioinformatics. Biomedical Data Analysis: Methods for analyzing and interpreting large-scale biological and biomedical datasets, including genomics, proteomics, and medical imaging data. Systems Biology: Modeling and simulation of biological systems, networks, and pathways. Structural Bioinformatics: Prediction and analysis of biomolecular structures, interactions, and functions using computational approaches. Biological Sequence Analysis: Algorithms and tools for sequence alignment, motif discovery, and phylogenetic analysis. Medical Informatics: Applications of computational methods in medical imaging, clinical data analysis, and personalized medicine.
  • Research Areas:
    Genomics and Proteomics: Computational approaches for genome sequencing, assembly, annotation, and analysis of protein structures and functions. Machine Learning in Biology: Applications of machine learning, deep learning, and artificial intelligence techniques in biological and biomedical research. Bioinformatics Tools and Databases: Development and utilization of bioinformatics software tools, databases, and resources for data integration and analysis. Biomedical Imaging: Computational methods for medical image analysis, feature extraction, and diagnostic decision support. Computational Drug Discovery: Algorithms and techniques for virtual screening, molecular docking, and drug design.
  • Contributions:
    IEEE-ACM Transactions on Computational Biology and Bioinformatics welcomes original research articles, reviews, and survey papers that contribute novel insights and methodologies to the field. The journal encourages submissions that demonstrate both theoretical advancements and practical applications in computational biology and bioinformatics.
  • Conclusion:
    IEEE-ACM Transactions on Computational Biology and Bioinformatics serves as a prominent venue for researchers, scientists, and practitioners to share their latest findings and innovations in computational methods applied to biology and bioinformatics. By promoting interdisciplinary collaboration, the journal accelerates the development of computational solutions to address complex biological challenges.

  • Editor-in-Chief:  Srinivas Aluru

  • Scope: Computational methods and algorithms in biology and bioinformatics
  • Genomics, proteomics, and metabolomics data analysis
  • Sequence analysis, alignment, and assembly
  • Structural bioinformatics and computational structural biology
  • Systems biology and biological networks
  • Computational modeling and simulation in biology
  • Bioinformatics databases and data integration
  • Machine learning and artificial intelligence applications in biological and biomedical research
  • Computational approaches to drug discovery and personalized medicine
  • High-performance computing and parallel algorithms for biological applications
  • Bioinformatics software development and tools
  • Latest Research Topics for PhD in Computer Science

  • Print ISSN:  1545-5963

    Electronic ISSN:  1557-9964

  • Abstracting and Indexing:  Science Citation Index Expanded, Scopus.

  • Imapct Factor 2024:  3.4

  • Subject Area and Category:  Biology, Health Sciences, Mathematics

  • Publication Frequency:  Bimonthly

  • H Index:  96

  • Best Quartile:

    Q1:  

    Q2:  Applied Mathematics

    Q3:  

    Q4:  

  • Cite Score:  9.7

  • SNIP:  0.971

  • Journal Rank(SJR):  0.797