International Journal of Data Mining and Bioinformatics

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Editor in Chief: Prof. Xiaohua (Tony) Hu
ISSN online: 1748-5681
ISSN print: 1748-5673
12 issues per year
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Mining bioinformatics data is an emerging area at the intersection between bioinformatics and data mining. The objective of IJDMB is to facilitate collaboration between data mining researchers and bioinformaticians by presenting cutting edge research topics and methodologies in the area of data mining for bioinformatics. This perspective acknowledges the inter-disciplinary nature of research in data mining and bioinformatics and provides a unified forum for researchers/practitioners/students/policy makers to share the latest research and developments in this fast growing multi-disciplinary research area.


 Topics covered include

  • Biological data pre-processing and cleaning
  • Biological data visualisation
  • Biological data integration and management
  • Phylogenetics
  • Biomedical ontologies construction/management
  • Microarray data analysis
  • Protein/RNA structure prediction
  • Genomics and proteomics
  • Drug design
  • Biomedical literature data mining
  • Modelling of biomolecular pathways
  • Whole, multiple genome comparison
  • Systems biology and pathways
  • Biological data curation

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IJDMB aims to publish the latest research and development results and experiences in the areas of bioinformatics, data mining and knowledge discovery, and the role of data mining techniques and methods in integrating and interpreting the bioinformatics data sets and improving effectiveness and/or efficiency and quality for bioinformatics data analysis. The major objective of IJDMB is to stimulate new multidisciplinary research and the development of cutting-edge data mining methods, techniques and tools to solve problems in bioinformatics. The goal is to help readers understand state-of-the-art techniques/algorithms/methods in bioinformatics data gathering, data pre-processing, data mining and data management.


IJDMB provides a forum to help academics, practitioners, post-graduates and policy makers, working in the area of data mining, data integration and management, bioinformatics, life sciences, healthcare, etc., to disseminate information and to learn from each other's work. The intended audiences are data mining researchers/practitioners; bioinformatics specialists in academia and industry; chemists; system biologists/molecular biologists who rely on computer tools for data integration, data management, data analysis; mathematicians/statisticians who are interested in model development and simulation for life science data; computer scientists; post-graduate students with interests in developing and/or applying novel algorithms/methods in biology/biomedical domains.


IJDMB publishes original research papers (long and short papers, exploratory papers), review papers, technical reports, case studies, conference/workshop reports, application notes, book reviews, commentaries, and news. Special Issues devoted to important topics in data mining and bioinformatics selected from top related conferences such as IEEE CSB, IEEE BIBE, PSB, RECOMB, ISMB, BIOKDD workshop etc., will occasionally be published.



Browse issues

Vol. 15
Vol. 14
Vol. 13
Vol. 12
Vol. 11
Vol. 10


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 IJDMB is indexed in:


 IJDMB is listed in:


Editor in Chief

  • Hu, Xiaohua (Tony), Drexel University, USA


    • Chen, Xue-wen, Wayne State University, USA
    • Kim, Sun, Seoul National University, Republic of Korea

    Editorial Board Members

    • Akutsu, Tatsuya, Kyoto University, Japan
    • Alhajj, Reda, University of Calgary, Canada
    • Aluru, Srinivas, Indian Institute of Technology Bombay and Iowa State University, USA
    • Arabnia, Hamid R., University of Georgia, USA
    • Bodenreider, Olivier, U.S. National Library of Medicine, USA
    • Chan, Keith C.C., The Hong Kong Polytechnic University, Hong Kong SAR, China
    • Chen, Jake, Indiana University-Purdue University Indianapolis, USA
    • Chen, Luonan, Shanghai Institutes for Biological Sciences, China
    • Chen, Yidong, University of Texas Health Science Center at San Antonio, USA
    • Cheung, David W.L., University of Hong Kong, Hong Kong SAR, China
    • Cho, Young-Rae, Baylor University, USA
    • Christianson, Anastasia, AstraZeneca R&D, USA
    • DasGupta, Bhaskar, University of Illinois at Chicago, USA
    • Deng, Youping, SpecPro Inc, USA
    • Eisenhaber, Frank, Bioinformatics Institute, Singapore
    • Gao, Jean, University of Texas at Arlington, USA
    • Ghalwash, Mohamed, Temple University, USA
    • He, Jing, Old Dominion University, USA
    • Huan, Jun, University of Kansas, USA
    • Huang, De-Shuang, Tongji University, China
    • Huang, Yufei, The University of Texas at San Antonio, USA
    • Hu, Shuanghua, Bristol-Myers Squibb Company, USA
    • Jiang, Xingpeng, Drexel University, USA
    • Kumar, Vipin, University of Minnesota, USA
    • Kwoh, Chee Keong, Nanyang Technological University, Singapore
    • Lee, Doheon, KAIST, Republic of Korea
    • Liao, Bo, Hunan University, China
    • Li, Guo-Zheng, Tongji University, China
    • Li, Xin (James), Georgetown University, USA
    • Lin, Hongfei, Dalian University of Technology, China
    • Liu, Juan, Wuhan University, China
    • Miyano, Satoru, The University of Tokyo, Japan
    • Navathe, Shan, Georgia Institute of Technology, USA
    • Ng, Michael Kwok-Po, Hong Kong Baptist University, Hong Kong SAR, China
    • Ng, See-Kiong, Institute for Infocomm Research, Singapore
    • Obradovic, Zoran, Temple University, USA
    • Palakal, Mathew J., Indiana University - Purdue University, USA
    • Park, Taesung, Seoul National University, Republic of Korea
    • Policriti, Alberto, Universit di Udine, Italy
    • Qiu, Robin G., The Pennsylvania State University, USA
    • Rebholz-Schuhmann, Dietrich, European Bioinformatics Institute, UK
    • Reddy, Chandan K., Wayne State University, USA
    • Ressom, Habtom, Georgetown University, USA
    • Shehu, Amarda, George Mason University, USA
    • Song, Min, New Jersey Institute of Technology, USA
    • Taniar, David, Monash University, Australia
    • Tseng, Vincent Shin-Mu, National Cheng Kung University, Taiwan
    • Tsui, Stephen Kwok-Wing, Chinese University of Hong Kong, Hong Kong SAR, China
    • Vingron, Martin, Max Planck Institute for Molecular Genetics, Germany
    • Wang, James (Zijun), Clemson University, USA
    • Wang, Jason T. L., New Jersey Institute of Technology, USA
    • Wang, Jianxin, Central South University, China
    • Wang, Li-San, University of Pennsylvania, USA
    • Wang, Yu-Ping, Tulane University, USA
    • Wu, Fang Xiang, University of Saskatchewan, Canada
    • Xu, Dong, University of Missouri, USA
    • Xu, Hua, Vanderbilt University Medical Center, USA
    • Yoo, Illhoi, University of Missouri, USA
    • Zelikovsky, Alexander, Georgia State University, USA
    • Zhang, Aidong, University at Buffalo, The State University of New York, USA
    • Zhang, Puwen Peter, Wyeth Research, USA
    • Zhou, Yanhong, Huazhong University of Science and Technology, China
    • Zhu, Xiaofeng, Guangxi Normal University, China


    A few essentials for publishing in this journal


    • Submitted articles should not have been previously published or be currently under consideration for publication elsewhere.
    • Conference papers may only be submitted if the paper has been completely re-written (more details available here) and the author has cleared any necessary permissions with the copyright owner if it has been previously copyrighted.
    • All our articles are refereed through a double-blind process.
    • All authors must declare they have read and agreed to the content of the submitted article. A full statement of our Ethical Guidelines for Authors (PDF) is available.
    • There are no fees for publishing with Inderscience, unless you require your article to be Open Access (OA). You can find more information on OA here.


    Submission process


    All articles for this journal must be submitted using our online submissions system.

    Read our Submitting articles page.



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