IEEE-ACM Transactions on Computational Biology and Bioinformatics

Scope & Guideline

Catalyzing Progress in Applied Mathematics, Biotechnology, and Genetics

Introduction

Immerse yourself in the scholarly insights of IEEE-ACM Transactions on Computational Biology and 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
ISSN1545-5963
PublisherIEEE COMPUTER SOC
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 2004 to 2024
AbbreviationIEEE ACM T COMPUT BI / IEEE-ACM Trans. Comput. Biol. Bioinform.
Frequency6 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1314

Aims and Scopes

The IEEE-ACM Transactions on Computational Biology and Bioinformatics focuses on the intersection of computational methods and biological data. It aims to advance the field by publishing high-quality research that utilizes innovative computational techniques to solve biological problems. The journal encompasses a wide array of topics, methodologies, and applications in computational biology and bioinformatics, emphasizing the integration of data analysis, modeling, and computational tools.
  1. Computational Biology:
    The journal publishes research that applies computational methods to understand biological systems, focusing on the development of algorithms and software tools for analyzing biological data.
  2. Bioinformatics Applications:
    It emphasizes practical applications of computational techniques in bioinformatics, including genomic, transcriptomic, and proteomic data analysis, as well as systems biology.
  3. Machine Learning and AI Techniques:
    A significant portion of the research involves the application of machine learning and artificial intelligence to predict biological outcomes, classify biological samples, and improve diagnostic processes.
  4. Data Integration and Analysis:
    The journal explores methodologies for integrating diverse biological data sources, including multi-omics data, to provide comprehensive insights into biological questions.
  5. Novel Algorithm Development:
    Research focuses on the creation of new algorithms and computational models that enhance the analysis and interpretation of complex biological data.
  6. Interdisciplinary Approaches:
    The journal encourages interdisciplinary research, combining insights from biology, computer science, and statistics to address complex biological challenges.
Recent publications highlight several emerging themes and trends that indicate a shift in research focus within the journal. These trends reflect the evolving landscape of computational biology and bioinformatics, driven by technological advancements and the increasing complexity of biological data.
  1. Deep Learning Applications:
    There is a marked increase in the application of deep learning techniques across various domains of computational biology, including genomics, proteomics, and imaging, showcasing their effectiveness in predictive modeling and classification tasks.
  2. Federated Learning and Privacy-Preserving Methods:
    Emerging themes around federated learning and privacy-preserving methods are gaining traction, particularly in medical applications, reflecting a growing concern for data privacy in health-related research.
  3. Integration of Multi-Omics Data:
    Research focusing on the integration of multi-omics data is becoming more prevalent, as it allows for a more comprehensive understanding of biological systems and disease mechanisms.
  4. Blockchain for Data Security:
    The application of blockchain technology for securing biological data and ensuring data integrity is an emerging area of interest, especially in the context of personalized medicine and health informatics.
  5. Explainable AI (XAI):
    There is a growing emphasis on explainable AI methods, aiming to enhance the interpretability of complex models and ensure that predictions are understandable to biologists and clinicians.
  6. Smart Healthcare Systems:
    Research is increasingly focused on developing smart healthcare systems that leverage AI and big data analytics for real-time monitoring, diagnosis, and treatment recommendations.

Declining or Waning

While the journal continues to thrive in many areas, certain themes have shown signs of waning interest or frequency in recent publications. This may reflect shifts in research focus, funding, or the emergence of new methodologies.
  1. Traditional Statistical Methods:
    There has been a noticeable decline in the use of traditional statistical methods for biological data analysis, as more researchers opt for advanced machine learning techniques that offer better predictive performance.
  2. Basic Sequence Alignment Techniques:
    The frequency of publications focusing solely on basic sequence alignment methods has decreased, likely due to the advent of more complex and efficient algorithms that integrate multiple biological data types.
  3. Single-Omics Analysis:
    Research dedicated to single-omics approaches is less prevalent as the field moves towards multi-omics integration, which provides a more holistic view of biological systems.
  4. Laboratory-Based Experimental Techniques:
    With the rise of computational methods, there is a decline in research that primarily focuses on laboratory-based experimental techniques without a significant computational component.
  5. Basic Visualization Techniques:
    The use of basic data visualization techniques has decreased as more sophisticated and interactive visualization tools become available, allowing for enhanced data interpretation.

Similar Journals

Computer Methods and Programs in Biomedicine

Advancing the Future of Biomedicine through Computational Innovation.
Publisher: ELSEVIER IRELAND LTDISSN: 0169-2607Frequency: 15 issues/year

Computer Methods and Programs in Biomedicine, published by ELSEVIER IRELAND LTD, is a leading journal at the intersection of computer science and biomedical research. With an impressive impact factor evidenced by its Q1 rankings in multiple categories—Computer Science Applications, Health Informatics, and Software—this journal ranks highly among peer publications, showcasing its significance in advancing interdisciplinary research. Covering a wide array of topics since its inception in 1985, it is particularly crucial for those invested in the innovation of computational methods applied to the biomedical field. The journal has established a strong reputation, with Scopus rankings placing it in the top percentiles across its relevant sectors, including the 14th position out of 138 in Health Informatics. Researchers, practitioners, and students looking to explore current trends, methodologies, and advancements in biomedical applications of computer science will find this journal an invaluable resource.

JOURNAL OF COMPUTATIONAL BIOLOGY

Empowering Researchers with Cutting-edge Computational Biology Insights
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.

BioData Mining

Connecting Researchers in the Evolving World of BioData
Publisher: BMCISSN: 1756-0381Frequency: 1 issue/year

BioData Mining is a distinguished open access journal published by BMC, focusing on the dynamic intersection of bioinformatics, computational mathematics, and molecular biology. Since its inception in 2008, this journal has provided a critical platform for researchers and professionals to publish their findings, contributing significantly to the collective knowledge in fields such as biochemistry, computational theory, and genetics. With a robust impact factor and a commendable h-index, BioData Mining continues to be a vital resource for academic and industrial advancements, ranked in the top quartiles in various categories according to the 2023 metrics. The journal's commitment to open access ensures that cutting-edge research is readily available to the global scientific community, thereby enhancing visibility and fostering collaboration among scholars. Whether you are a researcher, student, or practitioner, engaging with BioData Mining will equip you with relevant insights and developments in the fast-evolving realm of bioinformatics.

Quantitative Biology

Bridging Mathematics and Biology for Innovative Discoveries
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.

COMPUTATIONAL BIOLOGY AND CHEMISTRY

Advancing Research at the Intersection of Life Sciences and Computational Methods
Publisher: ELSEVIER SCI LTDISSN: 1476-9271Frequency: 6 issues/year

COMPUTATIONAL BIOLOGY AND CHEMISTRY is a distinguished academic journal published by Elsevier Science Ltd, focusing on the dynamic intersection of computational biology, biochemistry, and chemistry. With an ISSN of 1476-9271 and an E-ISSN of 1476-928X, this journal is committed to disseminating high-quality research that employs computational techniques to solve complex biological and chemical problems. As of 2023, the journal holds a substantial impact factor reflecting its significance and rigorous peer-review process, categorized in the Q2 quartile for both Computational Mathematics and Organic Chemistry, alongside Q3 classifications in Biochemistry and Structural Biology. With a continuous publication history spanning from 2003 to 2024, it serves as a critical resource for researchers, professionals, and students alike. The journal offers various open access options, ensuring that vital research findings are accessible to a global audience, further enhancing collaboration across disciplines. Engage with cutting-edge studies and contribute to the evolving landscape of computational methodologies in the life sciences through this esteemed publication.

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.

Biocybernetics and Biomedical Engineering

Advancing the Frontiers of Biomedical Innovation
Publisher: ELSEVIERISSN: 0208-5216Frequency: 4 issues/year

Biocybernetics and Biomedical Engineering, published by ELSEVIER in the Netherlands, is a prestigious journal that stands at the forefront of the intersecting fields of biomedical engineering and artificial intelligence. With an impressive Impact Factor that places it in the Q1 category for Biomedical Engineering, this journal not only ranks 17th out of 303 in Scopus but also boasts a remarkable percentile ranking of 94th, highlighting its influence and relevance within the scientific community. Since its inception in 2008, Biocybernetics and Biomedical Engineering has aimed to publish cutting-edge research that integrates principles of cybernetics with technological advancements in health care, thereby fostering innovations that improve patient outcomes. Dedicated to advancing knowledge in biomedical technology, the journal serves as a vital resource for researchers, professionals, and students seeking to explore the latest developments and methodologies in the field.

Data Science and Engineering

Empowering innovation through data-driven research.
Publisher: SPRINGERNATUREISSN: 2364-1185Frequency: 4 issues/year

Data Science and Engineering is a premier open access journal published by SPRINGERNATURE, dedicated to advancing the fields of data science, artificial intelligence, computational mechanics, and information systems. Since its inception in 2016, this journal has rapidly established itself as a leader in the academic community, boasting an impressive Q1 ranking in multiple computer science categories, including Artificial Intelligence, Software, and Information Systems. With a commitment to disseminating high-quality research, it caters to a diverse audience of researchers, professionals, and students eager to explore the intersection of data and technology. The journal's robust global reach, combined with its respected reputation, empowers authors to share their findings widely, facilitating breakthroughs and innovations across the digital landscape. Join the vibrant community of scholars contributing to this integral field of study, and stay informed with the latest research by accessing the journal freely online.

BIOINFORMATICS

Leading the Charge in Bioinformatics Discoveries
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.

THEORY IN BIOSCIENCES

Exploring Methodological Frontiers in Biosciences
Publisher: SPRINGERISSN: 1431-7613Frequency: 3 issues/year

THEORY IN BIOSCIENCES, published by SPRINGER, is a prominent academic journal in the interdisciplinary fields of Applied Mathematics, Ecology, and Statistics. With an ISSN of 1431-7613 and an E-ISSN of 1611-7530, this journal is accessible to a global audience and facilitates Open Access options, ensuring that cutting-edge research reaches its intended audience promptly. Established in 1997 and set to converge into 2024, THEORY IN BIOSCIENCES holds a pivotal role in advancing theoretical and methodological approaches in biosciences, evidenced by its respectable placement in the Q3 quartile within the 2023 category rankings. Its Scopus rankings reflect a growing reputation, particularly in Mathematics and Ecology, making it an essential resource for researchers and professionals seeking to enhance their understanding of complex biological systems and data analysis techniques. Positioned in Germany and powered by SPRINGER's esteemed publishing standards, the journal is dedicated to fostering scholarly communication, offering a platform for innovative research that bridges theoretical frameworks and practical applications.