PLoS Computational Biology

Scope & Guideline

Connecting Minds in Computational Biology

Introduction

Welcome to your portal for understanding PLoS 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
ISSN1553-734x
PublisherPUBLIC LIBRARY SCIENCE
Support Open AccessYes
CountryUnited States
TypeJournal
Convergefrom 2005 to 2024
AbbreviationPLOS COMPUT BIOL / PLoS Comput. Biol.
Frequency12 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111

Aims and Scopes

PLoS Computational Biology is dedicated to advancing the understanding of biological processes through the application of computational methods. The journal encompasses a broad range of research areas, focusing on the development and application of computational models and algorithms to address complex biological questions, particularly those related to genomics, systems biology, and epidemiology.
  1. Computational Modeling of Biological Systems:
    The journal emphasizes the creation and analysis of computational models that simulate biological processes at various scales, from molecular interactions to ecological dynamics.
  2. Data Integration and Analysis:
    Research often involves the integration of diverse biological data types, including genomic, transcriptomic, and proteomic data, to derive meaningful insights into biological mechanisms.
  3. Machine Learning and AI Applications:
    A significant focus is on the application of machine learning and artificial intelligence techniques to predict biological outcomes, analyze large datasets, and enhance the understanding of complex biological systems.
  4. Epidemiological Modeling:
    The journal includes studies that utilize computational models to understand and predict the dynamics of infectious diseases, assess public health interventions, and inform policy decisions.
  5. Biophysical and Structural Biology:
    Research often involves exploring the structural dynamics of proteins and other biomolecules, leveraging computational tools to investigate their functions and interactions.
  6. Systems Biology and Synthetic Biology:
    The journal promotes research that integrates computational models with experimental data to explore systems-level properties of biological networks and synthetic biological systems.
Recent publications in PLoS Computational Biology highlight several emerging themes and trends that reflect the evolving landscape of computational biology. These trends indicate a shift towards more integrative, data-driven approaches and advanced modeling techniques.
  1. Integration of Multi-Omics Data:
    There is a growing trend towards integrating multiple types of omics data (genomics, transcriptomics, proteomics) to provide a more comprehensive understanding of biological systems.
  2. Artificial Intelligence and Deep Learning:
    The application of AI and deep learning techniques is on the rise, with researchers employing these methods for predictive modeling, classification tasks, and enhancing the analysis of complex datasets.
  3. Epidemic Modeling and Public Health Research:
    In light of the COVID-19 pandemic, there has been a significant increase in publications focused on epidemic modeling, exploring the dynamics of infectious diseases and the effectiveness of public health interventions.
  4. Complex Systems and Network Dynamics:
    Research is increasingly exploring the dynamics of complex biological networks, focusing on how interactions between components lead to emergent behaviors and robustness.
  5. Personalized Medicine and Drug Discovery:
    There is a notable trend towards using computational models to inform personalized medicine approaches, including predicting drug responses based on individual genetic and phenotypic data.
  6. Ethics and Open Science Practices:
    Emerging discussions around ethics in computational biology and the importance of reproducibility and transparency in research are becoming more prominent, reflecting a broader cultural shift in science.

Declining or Waning

While PLoS Computational Biology continues to thrive in many areas, certain themes appear to be waning in prominence based on recent publications. This decline may reflect shifts in research focus, funding availability, or technological advancements.
  1. Traditional Statistical Methods in Systems Biology:
    As computational power increases and machine learning methods gain traction, traditional statistical methods may be used less frequently in favor of more sophisticated algorithms.
  2. Basic Mechanistic Modeling:
    There seems to be a reduction in studies that focus solely on basic mechanistic modeling without integrating more complex, emergent properties or machine learning approaches.
  3. Single-Cell RNA Sequencing Analysis:
    While still a vital area, the frequency of publications specifically dedicated to single-cell RNA sequencing analysis has decreased as the field matures and integrates more with broader multi-omics approaches.
  4. Static Network Models:
    The reliance on static models for network analysis is diminishing as researchers increasingly adopt dynamic, time-varying models that better capture biological realities.

Similar Journals

JOURNAL OF COMPUTATIONAL BIOLOGY

Advancing the Frontiers of Biology through Computation
Publisher: MARY ANN LIEBERT, INCISSN: 1066-5277Frequency: 12 issues/year

JOURNAL OF COMPUTATIONAL BIOLOGY, published by Mary Ann Liebert, Inc., serves as a premier platform for the dissemination of groundbreaking research at the intersection of biological sciences and computational methods. Established in 1994, this journal provides a valuable resource for researchers, professionals, and students interested in the evolving fields of computational mathematics and biology. With a commendable Q2 ranking in several pertinent categories such as Computational Mathematics and Modeling and Simulation, it emphasizes high-quality studies that propel understanding and innovation in these areas. Although the journal currently operates under traditional access options, it plays a crucial role in fostering scholarly communication and collaboration among a diverse audience, advancing knowledge in genetics, molecular biology, and beyond. The journal's continual evolution, with a commitment to publish until at least 2024, positions it as a critical resource in the fast-paced world of computational biology.

npj Systems Biology and Applications

Transforming Drug Discovery through Systems Insights
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.

Biology-Basel

Championing Open Access for a Sustainable Future in Biology
Publisher: MDPIISSN: Frequency: 12 issues/year

Biology-Basel is a premier, peer-reviewed open-access journal published by MDPI since 2012, situated in the heart of Switzerland. With an E-ISSN of 2079-7737, this journal serves as a vital platform for the dissemination of innovative research across the broad spectrum of Agricultural and Biological Sciences, Biochemistry, Genetics, Molecular Biology, and Immunology. Recognized for its rigorous editorial standards and impactful findings, it currently ranks Q1 in Agricultural and Biological Sciences and holds impressive positions in several categories according to the 2023 Scopus rankings. The journal’s open-access model ensures that high-quality research is freely available to a global audience, fostering collaboration and knowledge sharing among researchers, professionals, and students alike. Spanning from 2012 to 2024, Biology-Basel is committed to reflecting the latest advancements in biological sciences, making it an essential resource in the ever-evolving landscape of biological research.

Biophysics Reviews

Transforming Fundamental Research into Real-World Solutions
Publisher: AIP PublishingISSN: 2688-4089Frequency: 4 issues/year

Biophysics Reviews, published by AIP Publishing, is an emerging journal in the field of biophysics, aiming to bridge the gap between fundamental biophysical research and applied sciences. With an ISSN of 2688-4089, this journal provides a critical platform for the dissemination of high-quality reviews covering the interplay between biochemistry, molecular biology, biotechnology, and materials science. As of 2023, it provides essential insights for researchers and professionals interested in understanding biomolecular processes at a physical level. Although the journal is not currently open access, it is making strides in establishing its impact in the competitive landscape, as indicated by its Scopus rankings in various related fields, including biochemistry and bioengineering. With a focus on enhancing collaborations among scientists and practitioners, Biophysics Reviews is poised to become a vital resource for anyone looking to deepen their understanding of how biophysical principles can be applied to solve complex biological challenges.

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.

Journal of Bioinformatics and Computational Biology

Bridging Disciplines to Unravel Biological Mysteries
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

Transforming Biological Insights with Computational Excellence
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.

Quantitative Biology

Pioneering Quantitative Solutions for Biological Challenges
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.

Interdisciplinary Sciences-Computational Life Sciences

Empowering Researchers with Computational Tools for Discovery
Publisher: SPRINGER HEIDELBERGISSN: 1913-2751Frequency: 4 issues/year

Interdisciplinary Sciences-Computational Life Sciences, published by SPRINGER HEIDELBERG, is a premier journal dedicated to advancing the field of life sciences through the lens of computational methods. With an ISSN of 1913-2751 and an E-ISSN of 1867-1462, this journal serves as a significant platform for researchers and professionals alike, fostering innovation and collaboration across various disciplines. As a testament to its impact, the journal holds a Q2 category status in Biochemistry, Genetics and Molecular Biology, Computer Science Applications, and Health Informatics, reflecting its influential contributions and rigorous peer-review process. The Scopus rankings demonstrate its esteemed placement within its fields, with notable percentiles that highlight its relevance and reach. While the journal operates under a traditional access model, its commitment to publishing high-quality research continues to stimulate important discussions and developments within the scientific community. Founded in 2009 and converging through 2024, Interdisciplinary Sciences-Computational Life Sciences remains an essential resource for the latest discoveries at the intersection of computation and life sciences, appealing to both seasoned researchers and enthusiastic students eager to contribute to this dynamic field.

Current Opinion in Systems Biology

Catalyzing innovation in the study of complex biological interactions.
Publisher: ELSEVIERISSN: 2452-3100Frequency: 4 issues/year

Current Opinion in Systems Biology is an esteemed academic journal published by ELSEVIER, focusing on the dynamic and interdisciplinary field of systems biology. Since its inception in 2017, the journal has made significant strides in disseminating cutting-edge research and innovative perspectives across various domains, including applied mathematics, biochemistry, and drug discovery. With an impressive impact factor reflecting its prominent position as a Q1 journal in multiple categories—including Applied Mathematics, Biochemistry, and Computer Science Applications—it serves as a vital resource for researchers, professionals, and students alike. The journal embraces a comprehensive approach to understanding complex biological systems, fostering a deeper insight into the interactions within biological and computational frameworks. This makes it an essential conduit for advancing knowledge and innovation in systems biology, facilitating the development of new methodologies that could lead to groundbreaking discoveries.