BMC BIOINFORMATICS

Scope & Guideline

Empowering Research with Open Access Bioinformatics Insights.

Introduction

Immerse yourself in the scholarly insights of BMC BIOINFORMATICS with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN1471-2105
PublisherBMC
Support Open AccessYes
CountryUnited Kingdom
TypeJournal
Convergefrom 2000 to 2024
AbbreviationBMC BIOINFORMATICS / BMC Bioinformatics
Frequency1 issue/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressCAMPUS, 4 CRINAN ST, LONDON N1 9XW, ENGLAND

Aims and Scopes

BMC Bioinformatics is dedicated to the dissemination of research and developments in the field of bioinformatics, focusing on innovative computational methods and tools for analyzing biological data. The journal emphasizes interdisciplinary approaches that integrate biology, computer science, and statistics.
  1. Computational Methods Development:
    The journal publishes works that introduce novel computational algorithms and tools aimed at solving complex biological problems, including protein structure prediction, genomic data analysis, and systems biology modeling.
  2. Data Integration and Analysis:
    It emphasizes methodologies for integrating diverse biological datasets, such as genomics, transcriptomics, proteomics, and metabolomics, to provide comprehensive insights into biological systems.
  3. Machine Learning and AI Applications:
    BMC Bioinformatics features research that applies machine learning and artificial intelligence techniques to predict biological outcomes, including drug interactions, disease associations, and genetic variations.
  4. User-Friendly Software and Tools:
    The journal highlights the development of user-friendly software and web applications that facilitate bioinformatics analyses, making advanced methodologies accessible to biologists and researchers.
  5. Case Studies and Applications:
    Research showcasing practical applications of bioinformatics tools in real-world biological contexts, such as cancer genomics, microbiome studies, and drug discovery, is a core focus.
BMC Bioinformatics has observed several emerging themes that reflect the current trends and future directions of research in bioinformatics, driven by advancements in technology and increasing biological complexity.
  1. Deep Learning Techniques:
    There is a significant rise in the application of deep learning methods for various bioinformatics tasks, including protein structure prediction, drug interaction modeling, and genomic data analysis, indicating a trend towards more sophisticated analytical approaches.
  2. Multi-Omics Integration:
    Research integrating multiple omics layers (genomics, transcriptomics, proteomics, etc.) is gaining traction, as it allows for a more comprehensive understanding of biological systems and disease mechanisms.
  3. Network-Based Approaches:
    Emerging studies are increasingly employing network-based methods to analyze complex interactions within biological systems, such as protein-protein interactions and gene regulatory networks.
  4. Personalized Medicine Applications:
    There is a growing emphasis on bioinformatics research that supports personalized medicine, including the development of predictive models for patient-specific treatment responses based on genomic data.
  5. Visualization and Data Exploration Tools:
    The demand for advanced visualization tools and platforms for exploring complex biological data is on the rise, reflecting the need for intuitive interfaces that facilitate data interpretation and discovery.

Declining or Waning

While BMC Bioinformatics continues to thrive in various areas, some themes have seen a decline in recent years, indicating shifts in research priorities and technological advancements.
  1. Traditional Statistical Methods:
    There has been a noticeable decrease in publications focused solely on traditional statistical methodologies, as the field increasingly favors machine learning and computational approaches that offer more robust predictive capabilities.
  2. Basic Bioinformatics Tools:
    The publication of basic or general bioinformatics tools has waned, with a growing emphasis on specialized applications that address specific biological questions or challenges.
  3. Single-Omics Studies:
    Research centered on single-omics analyses (e.g., genomics alone) is becoming less prominent, reflecting a shift towards integrative multi-omics approaches that provide a more holistic view of biological processes.
  4. Static Data Analysis:
    There is a decline in studies that focus on static data analysis without dynamic modeling or predictive elements, as the field moves towards more interactive and adaptive analytical frameworks.
  5. Descriptive Studies:
    The journal has seen fewer descriptive studies that do not employ advanced computational methods, as the trend shifts towards hypothesis-driven research that utilizes innovative analytical techniques.

Similar Journals

Database-The Journal of Biological Databases and Curation

Navigating the Complexities of Biological Data with Expertise
Publisher: OXFORD UNIV PRESSISSN: 1758-0463Frequency: 1 issue/year

Database - The Journal of Biological Databases and Curation, published by Oxford University Press, stands at the forefront of the rapidly evolving fields of biological data management and curation. Since its inception in 2009, this open access journal has become a pivotal resource for researchers and professionals eager to explore the intricate world of biological databases. With an impressive impact factor, it ranks in the Q1 quartile across significant disciplines such as Agricultural and Biological Sciences, Biochemistry, Genetics and Molecular Biology, Information Systems, and Medicine as of 2023. This prestigious standing reflects its commitment to high-quality research and innovation. The journal not only provides a platform for original research articles, reviews, and case studies but also aims to facilitate discussion on best practices in database design and curation. By bridging the gap between data generation and utilization, it plays an essential role in enhancing the accessibility and usability of biological data, making it indispensable for scholars and students who are navigating these complex domains.

BIOINFORMATICS

Exploring the Synergy of Data and Life Sciences
Publisher: OXFORD UNIV PRESSISSN: 1367-4803Frequency: 24 issues/year

BIOINFORMATICS, published by Oxford University Press, is a leading journal in the realms of biochemistry, computational mathematics, and computer science, with a notable impact factor that underscores its significance in the field. Since its inception in 1985 and continuing through its expected convergence in 2024, the journal has maintained a prestigious reputation, proudly residing in the Q1 category across multiple disciplines, including molecular biology and statistics. With a Scopus ranking placing it within the top percentiles of its categories, BIOINFORMATICS serves as an essential platform for disseminating high-quality research that advances knowledge and innovation at the intersection of biology and computational sciences. This journal not only offers both subscription and open access options, ensuring wider availability of its cutting-edge research, but it has also become a crucial resource for researchers, professionals, and students aiming to stay at the forefront of bioinformatics and related fields. Explore the latest findings and trends that define the future of biological research through this esteemed publication, any inquiries regarding the journal can be directed to its offices located at Great Clarendon St, Oxford OX2 6DP, England.

Computational and Structural Biotechnology Journal

Innovating at the Nexus of Computer Science and Molecular Biology
Publisher: ELSEVIERISSN: 2001-0370Frequency:

Computational and Structural Biotechnology Journal is a premier open-access journal published by Elsevier, focusing on the intersection of computer science and molecular biology. Since its inception in 2012, the journal has established itself as a leading platform for innovative research, featuring groundbreaking studies in biochemistry, biophysics, biotechnology, and genetics. With a remarkable Q1 ranking in multiple categories, including Biochemistry and Genetics, it stands out for its high impact, evidenced by its strong Scopus ranking percentile scores. As a vital resource for researchers, professionals, and students, the journal aims to foster the dissemination of essential findings that leverage computational techniques to explore complex biological systems. In a rapidly evolving scientific landscape, Computational and Structural Biotechnology Journal serves as an indispensable resource for those looking to contribute and stay abreast of major advancements in the field.

Algorithms for Molecular Biology

Exploring the intersection of computation and molecular science.
Publisher: BMCISSN: Frequency: 1 issue/year

Algorithms for Molecular Biology, published by BMC, is a premier Open Access journal dedicated to advancing the field of molecular biology through innovative computational methods. Since its inception in 2006, the journal has provided a vital platform for researchers to share their findings and methodologies, covering a diverse range of topics at the intersection of applied mathematics, computational theory, and molecular biology. With a notable impact factor reflected in its Scopus ranks, including a Q2 classification in both applied mathematics and computational theory, as well as Q3 in molecular and structural biology, the journal plays an essential role in this rapidly evolving discipline. The wide accessibility of articles published under the Open Access model ensures that research findings reach a global audience, fostering collaboration and innovation amongst scientists and professionals alike. As we look towards converging years from 2006 to 2024, Algorithms for Molecular Biology continues to uphold the highest standards of scientific integrity and excellence, reinforcing its status as a key resource for those engaged in the profound complexities of molecular biology.

Briefings in Functional Genomics

Empowering Researchers with Cutting-Edge Findings
Publisher: OXFORD UNIV PRESSISSN: 2041-2649Frequency: 6 issues/year

Briefings in Functional Genomics, published by Oxford University Press, serves as a crucial academic resource in the fields of biochemistry, genetics, and molecular biology. With an ISSN of 2041-2649 and an E-ISSN of 2041-2657, this esteemed journal explores innovative research and developments in functional genomics, with a commitment to advancing our understanding of genetic processes and their implications in health and disease. Ranking in the Q2 quartile for both Biochemistry and Genetics, and occupying a prominent Q1 status in the domain of interdisciplinary Medicine, the journal is positioned as a leading platform for researchers seeking to disseminate their findings to a global audience. Although it does not currently offer open access options, its accessibility through institutional subscriptions and its esteemed impact factor underscore its importance in the research community. Covering converging topics from 2010 to 2024, Briefings in Functional Genomics not only keeps pace with the rapidly evolving landscape of genomics but also stimulates collaboration and dialogue among scientists and industry professionals alike, making it an indispensable tool for researchers, practitioners, and students eager to engage with cutting-edge genomic science.

PLoS Computational Biology

Driving Innovation in Cellular and Molecular Neuroscience
Publisher: PUBLIC LIBRARY SCIENCEISSN: 1553-734XFrequency: 12 issues/year

PLoS Computational Biology is a premier open-access journal published by the Public Library of Science, committed to advancing the understanding of complex biological data through computational approaches. Since its inception in 2005, the journal has made significant strides in the fields of Cellular and Molecular Neuroscience, Computational Theory and Mathematics, Ecology, Genetics, and Molecular Biology, achieving a notable Q1 ranking in various categories as of 2023. With an exceptional impact factor and an esteemed ranking—such as Rank #23/176 in Computational Theory and Mathematics—PLoS Computational Biology provides a vital platform for researchers, professionals, and students to disseminate their cutting-edge findings and insights. The journal's open-access model ensures that high-quality research is freely accessible worldwide, fostering collaboration and innovation across disciplines. Located in San Francisco, CA, it serves as a hub for the global scientific community, making it an indispensable resource for anyone at the forefront of computational biology and its diverse applications.

Chem-Bio Informatics Journal

Innovating Connections Between Chemistry and Biology
Publisher: CHEM-BIO INFORMATICS SOCISSN: 1347-6297Frequency: 1 issue/year

Chem-Bio Informatics Journal is a dedicated platform for the dissemination of innovative research in the intersecting realms of biochemistry and computational science. Published by the CHEM-BIO INFORMATICS SOC in Japan, this journal embraces the rapidly evolving field of chemoinformatics and bioinformatics, fostering scholarly communication among researchers, professionals, and students alike. With its ISSN: 1347-6297 and E-ISSN: 1347-0442, the journal continues to enrich the scientific community by offering insights into novel methodologies and applications that bridge chemistry and biology. Although currently positioned in the fourth quartile in the biochemistry category according to Scopus rankings, contributing to this journal provides an invaluable opportunity for authors to showcase impactful findings that could resonate within the field. The journal is particularly committed to supporting interdisciplinary research that addresses complex biological problems through computational modeling and data analysis. By publishing high-quality and peer-reviewed articles, Chem-Bio Informatics Journal aims to enhance the scientific discourse and is poised to become a pivotal resource for advancing the frontiers of biochemistry and molecular biology.

Bioinformatics Advances

Transforming Biological Research Through Computational Excellence
Publisher: OXFORD UNIV PRESSISSN: Frequency: 1 issue/year

Bioinformatics Advances, published by Oxford University Press, is an esteemed academic journal that serves as a vital platform for the dissemination of innovative research in the rapidly evolving fields of bioinformatics and computational biology. With a promising E-ISSN of 2635-0041, this journal has made significant strides since its inception in 2021, achieving a commendable Q1 ranking in both the Computer Science Applications and Genetics categories, alongside respectable Q2 rankings in Molecular Biology and Structural Biology as of 2023. Though currently not an open-access publication, its critical insights cater to an audience keen on advancing knowledge and technology in genomic studies and data analytics. The journal emphasizes high-quality research and aims to facilitate the integration of computational techniques within biological sciences, making it an essential resource for researchers, professionals, and students alike who seek to stay at the forefront of bioinformatics advancements.

Journal of Bioinformatics and Computational Biology

Innovating Solutions for Complex Biological Challenges
Publisher: WORLD SCIENTIFIC PUBL CO PTE LTDISSN: 0219-7200Frequency: 6 issues/year

The Journal of Bioinformatics and Computational Biology, published by WORLD SCIENTIFIC PUBL CO PTE LTD, serves as a significant platform for disseminating innovative research in the dynamic fields of bioinformatics and computational biology. With an ISSN of 0219-7200 and an E-ISSN of 1757-6334, this journal facilitates the exchange of ideas and advancements from its inception in 2003 and continues to be pivotal through 2024. Despite its classification in the lower quartiles—Q4 in Biochemistry and Q4 in Molecular Biology, along with Q3 in Computer Science Applications—the journal remains a valuable resource for researchers and students alike, as it emphasizes interdisciplinary approaches essential for tackling complex biological problems through computational methods. Located in Singapore, the journal encourages submissions of high-quality, peer-reviewed articles that offer insights into computational techniques that empower biological research. Although this journal does not offer open access options, its contributions to research are increasingly recognized across various academic platforms. As the field evolves rapidly, this journal continues to attract a growing readership, making it an essential reference point for anyone interested in the intersection of biology and computer science.

IEEE-ACM Transactions on Computational Biology and Bioinformatics

Empowering Research with Quantitative Methods and Computational Techniques
Publisher: IEEE COMPUTER SOCISSN: 1545-5963Frequency: 6 issues/year

IEEE-ACM Transactions on Computational Biology and Bioinformatics is a prestigious journal published by the IEEE Computer Society, focusing on the interdisciplinary field of computational biology and bioinformatics. Established in 2004, this journal has made significant strides in contributing to our understanding of complex biological systems through quantitative methods and computational techniques, and it spans a converged publication period through 2024. As a notable resource with an impact factor that positions it in the second quartile in the domains of Applied Mathematics, Biotechnology, and Genetics, it serves as an essential platform for researchers and professionals seeking to disseminate their findings to a global audience. The journal ranks impressively in Scopus, with Applied Mathematics holding a rank of #38 out of 635 (94th percentile) and Genetics at #86 out of 347 (75th percentile), highlighting its significant influence in the scientific community. While the journal is not open-access, it provides valuable insights and cutting-edge research that are crucial for advancing the fields of bioinformatics and computational biology, making it indispensable for students, researchers, and practitioners alike.