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BMC Bioinformatics - Springer Nature | 2024 Impact Factor: 3.3 | Cite Score:6.8 | Q1

BMC Bioinformatics Journal

Impact Factor and Journal Rank of BMC Bioinformatics

  • About: MC Bioinformatics is an open access, peer-reviewed journal that focuses on all aspects of the development, testing, and novel application of computational and statistical methods for modeling and analyzing various types of biological data, alongside other areas of computational biology.BMC Bioinformatics covers a wide range of topics related to computational biology, including:
  • Computational Methods: Development and implementation of novel algorithms, software tools, and models for analyzing biological data. Statistical Methods: Applications of statistical techniques for data analysis and interpretation in biology. Machine Learning and AI: Use of machine learning algorithms and artificial intelligence approaches in biological data analysis and modeling. Systems Biology: Integration and modeling of complex biological systems using computational approaches. Bioinformatics Applications: Applications of computational biology in genomics, proteomics, transcriptomics, metabolomics, and other omics fields.
  • Publication Types:
    BMC Bioinformatics publishes various types of articles that contribute to advancing computational biology:
    Research Articles: Original research papers presenting new computational methods, algorithms, or significant findings in the field. Software Articles: Descriptions and validations of novel software tools and databases relevant to bioinformatics and computational biology. Methodology Articles: Articles focusing on the development and validation of new computational methodologies or frameworks. Review Articles: Comprehensive reviews summarizing current trends, challenges, and future directions in specific areas of computational biology.
  • Impact and Contribution:
    BMC Bioinformatics serves as a vital platform for researchers, practitioners, and academics to disseminate their work and collaborate on advancing computational biology. The journal open access model ensures widespread accessibility to scientific knowledge, fostering innovation and discoveries in biological data analysis and modeling.

  • Editor-in-Chief:  Sara Zandomeneghi

  • Scope: The BMC Bioinformatics journal is dedicated to open access, peer-reviewed articles covering a wide spectrum of topics in computational biology and bioinformatics. It welcomes contributions that explore the development, testing, and innovative application of computational and statistical methods for modeling and analyzing diverse biological data. Key areas of interest include:
  • Computational Methods: Development and evaluation of computational algorithms, software tools, and methodologies for biological data analysis.
  • Statistical Methods: Novel statistical approaches and their applications in biological data modeling and interpretation.
  • Machine Learning and Artificial Intelligence: Applications of machine learning techniques, deep learning, and AI methods in bioinformatics and systems biology.
  • Systems Biology: Studies integrating computational and experimental approaches to understand complex biological systems.
  • Modeling and Simulation: Mathematical modeling, simulation techniques, and theoretical frameworks for biological systems.
  • Data Integration and Visualization: Methods for integrating diverse biological data types and visualizing complex biological information.
  • Applications in Biomedicine: Computational approaches applied to biomedical research, personalized medicine, drug discovery, and clinical applications.
  • Latest Research Topics for PhD in Computer Science

  • Print ISSN:  14712105

    Electronic ISSN:  

  • Abstracting and Indexing:  Scopus, Science Citation Index Expanded

  • Imapct Factor 2024:   3.3

  • Subject Area and Category:  Biochemistry, Genetics and Molecular Biology ,Biochemistry,Molecular Biology,Structural Biology ,Computer Science,Computer Science Applications,Mathematics ,Applied Mathematics

  • Publication Frequency:  

  • H Index:  251

  • Best Quartile:

    Q1:  Applied Mathematics

    Q2:  

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  • Cite Score:  6.8

  • SNIP:  1.024

  • Journal Rank(SJR):  1.190