JOURNAL OF COMPUTATIONAL BIOLOGY

Scope & Guideline

Unveiling the Complexities of Life through Computational Innovation

Introduction

Welcome to your portal for understanding JOURNAL OF COMPUTATIONAL BIOLOGY, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageEnglish
ISSN1066-5277
PublisherMARY ANN LIEBERT, INC
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 1994 to 2024
AbbreviationJ COMPUT BIOL / J. Comput. Biol.
Frequency12 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address140 HUGUENOT STREET, 3RD FL, NEW ROCHELLE, NY 10801

Aims and Scopes

The Journal of Computational Biology focuses on the development and application of computational techniques to solve biological problems. It serves as a platform for researchers to present novel methodologies and findings in the realms of bioinformatics, computational genomics, systems biology, and related fields.
  1. Computational Modeling and Simulation:
    The journal emphasizes the use of computational models to simulate biological processes, such as disease progression, genetic interactions, and metabolic pathways, enabling researchers to predict outcomes and understand complex biological systems.
  2. Bioinformatics and Data Analysis:
    A core area is the application of bioinformatics tools and algorithms to analyze biological data, including genomic, transcriptomic, and proteomic datasets, facilitating insights into gene functions, interactions, and disease mechanisms.
  3. Machine Learning and AI in Biology:
    The integration of machine learning and artificial intelligence techniques is a significant focus, with applications ranging from predictive modeling of biological systems to the identification of biomarkers and drug discovery.
  4. Network Biology:
    Research on biological networks, such as protein-protein interaction networks and gene regulatory networks, is a prominent theme, highlighting the relationships and pathways that govern cellular functions and disease states.
  5. Methodological Innovations:
    The journal encourages the development of new computational methodologies and software tools that enhance data analysis, improve model accuracy, and enable novel approaches to biological questions.
Recent publications in the Journal of Computational Biology reveal several trending and emerging themes that indicate the direction of future research in the field. These themes reflect technological advancements and an evolving understanding of biological complexity.
  1. Integration of Multi-Omics Data:
    There is a growing emphasis on integrating multi-omics data (genomics, transcriptomics, proteomics) to gain a holistic view of biological processes and disease mechanisms, reflecting the complexity of living systems.
  2. Graph-Based Approaches:
    Graph-based methodologies are increasingly popular for analyzing biological networks and data structures, offering powerful tools for understanding relationships and interactions in complex biological systems.
  3. Deep Learning Applications:
    Deep learning techniques are emerging as a dominant approach for various tasks in computational biology, including image analysis, sequence prediction, and network inference, due to their ability to learn from large datasets.
  4. Dynamic and Temporal Models:
    Emerging research focuses on dynamic models that account for temporal changes in biological systems, such as gene expression over time or disease progression, providing insights into the evolution of biological processes.
  5. Privacy-Preserving Computational Methods:
    With the increasing concern over data privacy, there is a trend towards developing privacy-preserving methods for genomic data analysis, ensuring that sensitive information is protected while still enabling valuable research.

Declining or Waning

While the Journal of Computational Biology continues to thrive in various domains, some themes appear to be declining in prominence. These waning scopes reflect shifts in research priorities and advancements in technology.
  1. Traditional Statistical Methods:
    There is a noticeable decrease in the focus on traditional statistical methods for biological data analysis, as researchers increasingly adopt machine learning and AI techniques that offer more robust predictive power and adaptability.
  2. Simplistic Biological Models:
    Research involving overly simplistic biological models or assumptions appears to be waning, with a growing preference for more complex and realistic models that better capture the intricacies of biological systems.
  3. Single-Omics Studies:
    The trend is shifting away from single-omics studies (e.g., genomics, proteomics, etc.) towards multi-omics approaches that integrate various biological data types to provide a more comprehensive understanding of biological phenomena.
  4. Manual Data Processing Techniques:
    The reliance on manual data processing and analysis techniques is declining, as automated and high-throughput methods become more prevalent, allowing for faster and more accurate analyses.

Similar Journals

PLoS Computational Biology

Unlocking Insights Through Computational Innovation
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.

Quantitative Biology

Advancing Biological Insights Through Quantitative Methods
Publisher: WILEYISSN: 2095-4689Frequency: 4 issues/year

Quantitative Biology is a prestigious journal published by WILEY, focusing on the interdisciplinary study of quantitative approaches in the biological sciences. With an ISSN of 2095-4689 and an E-ISSN of 2095-4697, this journal has established itself as a critical platform for researchers exploring complex biological systems through mathematical and computational methodologies. Operating out of China, Quantitative Biology significantly contributes to its field, holding a Q2 ranking in various categories, including Applied Mathematics and Biochemistry, Genetics and Molecular Biology, according to the latest Scopus rankings. These rankings reflect the journal's commitment to publishing high-quality research that employs advanced modeling and simulation techniques. The journal's impact is evident with its position in the 84th percentile for Applied Mathematics, indicating its relevance and growth in a competitive academic landscape. Although it does not currently operate under an Open Access model, the journal is pivotal for professionals and students alike, aiming to bridge the gap between mathematical theories and biological applications. Researchers are encouraged to submit their innovative findings and engage with the vibrant community dedicated to advancing the quantitative understanding of biological phenomena.

Journal of Integrative Bioinformatics

Pioneering Open Access to Transformative Bioinformatics Knowledge
Publisher: WALTER DE GRUYTER GMBHISSN: Frequency: 1 issue/year

Journal of Integrative Bioinformatics, published by WALTER DE GRUYTER GMBH, is a leading open-access journal that has been at the forefront of the field since its inception in 2004. With an E-ISSN of 1613-4516, it serves as a crucial platform for researchers engaged in the interdisciplinary study of bioinformatics, blending insights from biology, computer science, and mathematics. Based in Germany, the journal is recognized for its impact in the realm of general medicine, boasting a Scopus rank of #172 out of 636 and placing in the 73rd percentile of its category. The journal continuously strives to disseminate high-quality research contributions that unify experimental and computational approaches to address complex biomedical questions. Targeted towards academics, professionals, and students alike, the Journal of Integrative Bioinformatics provides essential access to innovative research that enhances our understanding of integrative methodologies in medicine and beyond, especially with converged years spanning from 2008 to 2024.

Current Bioinformatics

Unlocking Complex Biological Systems through Data Analysis
Publisher: BENTHAM SCIENCE PUBL LTDISSN: 1574-8936Frequency: 6 issues/year

Current Bioinformatics, an esteemed journal published by Bentham Science Publishers Ltd, serves as a pivotal platform for the dissemination of cutting-edge research in the fields of bioinformatics, biochemistry, computational mathematics, genetics, and molecular biology. With an ISSN of 1574-8936 and an E-ISSN of 2212-392X, this journal has established itself as a vital resource for researchers, professionals, and students keen on exploring interdisciplinary approaches to biological data analysis. Its prominence is reflected in its quartile rankings for 2023, where it stands in Q3 for biochemistry and computational mathematics, alongside Q4 rankings in genetics and molecular biology. Current Bioinformatics, located in the United Arab Emirates and converging from 2007 to 2024, aims to foster innovation in the field by presenting original research articles, reviews, and case studies that drive forward our understanding of complex biological systems through computational techniques. This journal is an integral resource for those wishing to stay at the forefront of bioinformatics research and applications.

Bioinformatics Advances

Charting New Territories in Bioinformatics
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.

Computational and Structural Biotechnology Journal

Unveiling Breakthroughs in Biochemistry and Genetics via Structural Biotechnology
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.

Cell Systems

Pioneering Discoveries in Systems Biology
Publisher: CELL PRESSISSN: 2405-4712Frequency: 12 issues/year

Cell Systems is an esteemed journal published by CELL PRESS, dedicated to advancing the field of systems biology and its applications in cell biology, histology, and pathology. Since its inception in 2015, it has quickly ascended to a prominent position within the academic community, currently holding a Q1 ranking across multiple categories including Cell Biology, Histology, and Pathology and Forensic Medicine for 2023. With an impressive Scopus ranking—third in Medicine: Pathology and Forensic Medicine, and similarly high standing in Histology—it serves as a key resource for researchers and professionals aiming to explore and disseminate cutting-edge research findings. The journal provides an open-access platform, making it an accessible source of knowledge for students and scholars alike, fostering collaboration and innovation within the dynamic landscape of cellular research. With a commitment to high-quality and impactful publications, Cell Systems plays a pivotal role in shaping the future of biological sciences.

npj Systems Biology and Applications

Innovating Interdisciplinary Solutions for Biology
Publisher: NATURE PORTFOLIOISSN: Frequency: 1 issue/year

npj Systems Biology and Applications, published by NATURE PORTFOLIO, is a premier open-access journal that has been at the forefront of the field since its inception in 2015. With a commendable focus on the interdisciplinary integration of applied mathematics, biochemistry, computer science, and drug discovery, the journal currently enjoys a Q1 ranking across multiple categories, showcasing its significant impact within the scientific community. In 2023, it ranked 70 out of 635 in Applied Mathematics and holds a notable place in the 89th percentile, confirming its esteemed reputation among researchers. Situated in the United Kingdom, this journal not only promotes innovative research in systems biology but also serves as an essential platform for the dissemination of high-quality studies that delve into modeling, simulation, and the application of biological systems in drug discovery processes. With an open-access model, authors can reach a broad audience, enhancing collaborations and advancing knowledge across disciplines, making it an indispensable resource for researchers, professionals, and students alike seeking to contribute to the evolving landscape of systems biology.

COMPUTERS IN BIOLOGY AND MEDICINE

Harnessing Data for Tomorrow's Medical Breakthroughs
Publisher: PERGAMON-ELSEVIER SCIENCE LTDISSN: 0010-4825Frequency: 16 issues/year

COMPUTERS IN BIOLOGY AND MEDICINE is a prestigious academic journal published by Pergamon-Elsevier Science Ltd, dedicated to advancing the fields of Computer Science Applications and Health Informatics. With an impressive impact factor and ranking within the Q1 quartile for both categories, this journal plays a crucial role in disseminating high-quality research findings that influence cutting-edge developments at the intersection of computing and healthcare. Covering a broad range of topics from computational biology to medical informatics, it serves as a vital resource for researchers, professionals, and students striving to harness technology for medical advancements. The journal has been publishing since 1970 and continues to evolve, incorporating the latest trends and innovations in the field, thereby ensuring that it remains a key contributor to scientific inquiry and knowledge. With accessible content and a global reach, COMPUTERS IN BIOLOGY AND MEDICINE invites submissions that elevate the understanding and application of computational methods in biological and medical contexts.

Briefings in Functional Genomics

Advancing the Frontiers of Functional Genomics
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.