Current Bioinformatics

Scope & Guideline

Exploring Interdisciplinary Approaches to Biological Data

Introduction

Welcome to the Current Bioinformatics information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of Current Bioinformatics, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageEnglish
ISSN1574-8936
PublisherBENTHAM SCIENCE PUBL LTD
Support Open AccessNo
CountryUnited Arab Emirates
TypeJournal
Convergefrom 2007 to 2024
AbbreviationCURR BIOINFORM / Curr. Bioinform.
Frequency6 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressEXECUTIVE STE Y-2, PO BOX 7917, SAIF ZONE, 1200 BR SHARJAH, U ARAB EMIRATES

Aims and Scopes

Current Bioinformatics focuses on the intersection of biological data and computational methodologies, aiming to advance understanding in various biological domains through innovative computational techniques.
  1. Bioinformatics Algorithms and Models:
    The journal publishes research on algorithms and computational models that analyze biological data, including machine learning, deep learning, and statistical methods.
  2. Genomic and Proteomic Analyses:
    A significant emphasis is placed on the analysis of genomic and proteomic data, with studies exploring gene expression, protein interactions, and molecular structures.
  3. Disease Mechanisms and Therapeutics:
    Research focusing on understanding disease mechanisms through bioinformatics approaches, including drug discovery, disease prediction, and therapeutic target identification.
  4. Integration of Multi-Omics Data:
    The journal highlights work that integrates various types of biological data (genomic, transcriptomic, proteomic) to provide a comprehensive understanding of biological processes.
  5. Application of Artificial Intelligence and Machine Learning:
    A core area of focus is the application of AI and machine learning techniques in bioinformatics, particularly for predictive modeling and pattern recognition in biological datasets.
Current Bioinformatics has recently seen a surge in interest in several emerging themes, reflecting the dynamic nature of the field and its adaptation to new challenges and technologies.
  1. Deep Learning Applications:
    There is a marked increase in the use of deep learning techniques for various bioinformatics applications, including protein structure prediction, drug discovery, and genomic data analysis.
  2. Microbiome Research:
    Research focusing on the microbiome and its association with health and disease is gaining traction, highlighting the importance of microbial interactions in human health.
  3. COVID-19 Related Studies:
    The journal has published numerous articles related to COVID-19, including studies on virus genomics, vaccine development, and computational models for disease spread.
  4. AI-Driven Drug Discovery:
    An upward trend in research dedicated to AI-driven approaches for drug discovery and repurposing, showcasing the potential of computational methods to accelerate pharmaceutical development.
  5. Network-Based Approaches:
    Emerging interest in network-based methodologies for understanding biological systems, particularly in studying interactions among genes, proteins, and metabolites.

Declining or Waning

While Current Bioinformatics continues to thrive, certain themes have shown a decline in publication frequency, indicating a potential shift in research focus.
  1. Traditional Statistical Approaches:
    With the rise of machine learning and AI, traditional statistical methods for data analysis have become less prominent, as researchers favor more advanced computational techniques.
  2. Basic Sequence Alignment Techniques:
    Fundamental sequence alignment methods are being overshadowed by more sophisticated and context-specific approaches, such as deep learning-based models that offer improved performance.
  3. Single Omics Studies:
    There is a noticeable decline in studies focusing solely on single omics data, as the trend shifts towards multi-omics integrations for a more holistic understanding of biological systems.
  4. General Reviews without Novel Insights:
    The journal has seen fewer publications of general reviews that do not provide new insights or methodologies, reflecting a preference for original research contributions.

Similar Journals

BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS

Pioneering research for a deeper understanding of life sciences.
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.

Bioinformatics Advances

Empowering Researchers with Cutting-edge Bioinformatics Solutions
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

Exploring Complex Biological Systems with Cutting-Edge Computational Techniques
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.

COMPUTATIONAL BIOLOGY AND CHEMISTRY

Unraveling Complex Biological Mysteries with Computational Precision
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 and Biology Insights

Empowering researchers with open-access bioinformatics knowledge.
Publisher: SAGE PUBLICATIONS LTDISSN: 1177-9322Frequency: 1 issue/year

Bioinformatics and Biology Insights is a premier open-access journal dedicated to advancing the frontiers of bioinformatics and biology. Published by SAGE Publications Ltd, this journal is a leading platform for disseminating high-quality research that integrates computational methods with biological insights. Since its inception in 2007, the journal has garnered significant recognition, reflecting its commitment to excellence, as evidenced by its impressive impact factor and a strong presence across multiple quartiles in applied mathematics, biochemistry, and computational sciences. With a rank of Q1 in both Applied Mathematics and Computational Mathematics and various other notable rankings in related fields, it serves as an essential resource for researchers, professionals, and students seeking cutting-edge knowledge and innovations. The journal's open-access model ensures that findings are readily available, fostering collaboration and advancement in this dynamic field. Through its comprehensive scope and rigorous peer-review process, Bioinformatics and Biology Insights continues to play a pivotal role in shaping the future of biological research and computational methodologies.

Quantitative Biology

Integrating Data and Biology for Enhanced Understanding
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.

BMC BIOINFORMATICS

Fostering Collaboration through Open Access Bioinformatics Research.
Publisher: BMCISSN: 1471-2105Frequency: 1 issue/year

BMC Bioinformatics is a leading open-access journal published by BMC, dedicated to the rapidly evolving field of bioinformatics. With its inception in 2000, the journal has established itself as an essential resource for researchers, professionals, and students alike, disseminating high-quality research that bridges the gap between biology and computational science. BMC Bioinformatics holds a reputable Q1 ranking in Applied Mathematics and Computer Science Applications, and a Q2 ranking in both Biochemistry and Structural Biology, reflecting its significant impact in these interdisciplinary fields. The journal's broad scope encompasses innovative methodologies, tools, and applications that drive progress in biological research through computational approaches. With open access since its inception, the journal ensures unrestricted availability of cutting-edge research findings, promoting knowledge sharing and collaboration in the global scientific community. As it continues to publish advancements up to 2024, BMC Bioinformatics remains a cornerstone for those seeking to enhance their understanding of bioinformatics and its vital role in modern science.

Evolutionary Bioinformatics

Empowering discoveries in ecology, evolution, and genetics.
Publisher: SAGE PUBLICATIONS LTDISSN: 1176-9343Frequency: 4 issues/year

Evolutionary Bioinformatics, published by SAGE Publications Ltd, is a pioneering open-access journal established in 2005, dedicated to advancing the field of evolutionary biology through innovative computational techniques and bioinformatics. With an ISSN of 1176-9343, it serves as a critical platform for researchers, professionals, and students to disseminate impactful findings and foster collaboration across disciplines. The journal spans a broad scope, contributing significantly to the areas of Ecology, Evolution, Behavior and Systematics, and Genetics, as evidenced by its respectable Scopus rankings and quartile placements in 2023. With a commitment to providing comprehensive, peer-reviewed research articles and tools for sharing knowledge, Evolutionary Bioinformatics plays an essential role in shaping the future of evolutionary studies and bioinformatics. Readers and contributors alike are encouraged to engage with cutting-edge research that pushes the boundaries of understanding in this dynamic field.

JOURNAL OF COMPUTATIONAL BIOLOGY

Pioneering Research that Connects Biology with Computational Excellence
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.

Interdisciplinary Sciences-Computational Life Sciences

Driving Innovation Through Computational Life Science Solutions
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.