PLoS Computational Biology

Scope & Guideline

Pioneering the Future of Computational Approaches in 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

Interdisciplinary Sciences-Computational Life Sciences

Fostering Collaboration for Transformative Life Science Insights
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.

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

Advancing the Frontiers of Bioinformatics Research
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.

BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS

Advancing the frontiers of biochemistry and biophysics.
Publisher: ACADEMIC PRESS INC ELSEVIER SCIENCEISSN: 0006-291XFrequency: 52 issues/year

BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS, published by Academic Press Inc Elsevier Science, stands as a leading periodical in the fields of biochemistry, biophysics, cell biology, and molecular biology. With an ISSN of 0006-291X and an E-ISSN of 1090-2104, this esteemed journal has been a pivotal platform for the dissemination of groundbreaking research since its inception in 1959, continuing to publish influential findings through at least 2024. It holds a commendable Q2 ranking in Biochemistry and Q1 status in Biophysics as of 2023, reflecting its high impact and relevance in the field, supported by its strong Scopus rankings—ranking #43 in Biophysics and maintaining a presence in the top quartiles of several related categories. Although it is not an open-access journal, it provides critical insights and essential data that cater to researchers, professionals, and students keen on advancing their understanding of complex biochemical and biophysical processes. Its significant contributions to the scientific community underscore the importance of this journal as a reference point for innovative research and collaborative discourse.

Frontiers in Bioinformatics

Pioneering High-Quality Research in Bioinformatics
Publisher: FRONTIERS MEDIA SAISSN: Frequency: 1 issue/year

Frontiers in Bioinformatics is a leading academic journal dedicated to advancing the field of bioinformatics by publishing high-quality research and review articles. Published by FRONTIERS MEDIA SA, this open-access journal aims to foster innovative research, promote collaborative initiatives, and provide a platform for the dissemination of findings related to computational biology, biostatistics, and the intersection of bioinformatics with other biological disciplines. With a focus on promoting accessibility and visibility of research, Frontiers in Bioinformatics operates under a rigorous peer-review process, ensuring that all published content meets the highest academic standards. The journal has shown a commendable rank across various Scopus categories, including Mathematics, Computational Mathematics, and multiple dimensions of Biochemistry and Molecular Biology, indicating its relevance and impact within the research community. Researchers, professionals, and students will find this journal invaluable for staying abreast of the latest developments and breakthroughs in bioinformatics, enhancing their studies and professional projects.

Bioinformatics Advances

Exploring the Intersection of Biology and Technology
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.

CELLULAR AND MOLECULAR BIOLOGY

Connecting Researchers in Cellular Dynamics
Publisher: C M B ASSOCISSN: 0145-5680Frequency: 8 issues/year

Cellular and Molecular Biology is a prominent academic journal published by C M B ASSOC, specializing in the dynamic fields of cellular and molecular biology. Established in 1977, this journal has consistently aimed to disseminate groundbreaking research that contributes to our understanding of biochemical processes, cell dynamics, and molecular mechanisms governing life. With its ISSN 0145-5680 and E-ISSN 1165-158X, the journal plays a vital role in the exchange of innovative ideas, evidenced by its coverage of research from 1977 to 2024. Although currently categorized in the Q4 quartile for major disciplines such as Biochemistry and Cell Biology, it is dedicated to fostering the development of the field by welcoming submissions that challenge the conventional understanding and lead to novel insights. Researchers and academics looking to contribute to or stay updated in the rapidly evolving landscape of molecular biology will find this journal a valuable resource for connecting with a global community of scientists.

npj Systems Biology and Applications

Elevating Systems Biology to New Heights
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.

BIOINFORMATICS

Empowering Researchers with Cutting-edge Bioinformatics Knowledge
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.

Molecular Systems Biology

Advancing the Frontiers of Biological Science
Publisher: SPRINGERNATUREISSN: 1744-4292Frequency: 12 issues/year

Molecular Systems Biology, published by SpringerNature, is a premier open access journal that has been a cornerstone in advancing the fields of biological science since its inception in 2005. With its ISSN 1744-4292, this journal exemplifies high scholarly standards, boasting an impressive suite of impact factors, including Q1 rankings across various disciplines such as Agricultural and Biological Sciences, Biochemistry, Genetics and Molecular Biology, and more, highlighting its significant contribution to the scientific community. The journal offers robust access options to facilitate innovative research dissemination, reaching a global audience while maintaining a commitment to fostering collaboration and dialogue among researchers, professionals, and students. With a focus on integrating quantitative approaches to biological systems, Molecular Systems Biology plays a vital role in addressing complex biological questions, paving the way for groundbreaking discoveries and advancements in healthcare, environmental sustainability, and functional genomics.