International Journal of Knowledge Discovery in Bioinformatics (IJKDB)

Now International Journal of Applied Research in Bioinformatics (IJARB)
Published: Semi-Annually
Copyright: ©2010
DOI: 10.4018/IJKDB
ISSN: 1947-9115
EISSN: 1947-9123

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Description

The International Journal of Knowledge Discovery in Bioinformatics (IJKDB) collects the most significant research and latest practices in computational knowledge discovery approaches to bioinformatics. Containing articles on topics such as systems biology, protein structure, gene expression, and biological data integration, this journal presents a cross-disciplinary approach to the field useful for researchers, practitioners, academicians, mathematicians, statisticians, and computer scientists involved in the many facets of bioinformatics.

Volume 8, Issue 2

Volume 8, Issue 1

Volume 7, Issue 2

Volume 7, Issue 1

Volume 6, Issue 2

Volume 6, Issue 1

Volume 5, Issue 2

Volume 5, Issue 1

Volume 4, Issue 2

Volume 4, Issue 1

Volume 3, Issue 4

Volume 3, Issue 3

Volume 3, Issue 2

Volume 3, Issue 1

Volume 2, Issue 4

Volume 2, Issue 3

Volume 2, Issue 2

Volume 2, Issue 1

Volume 1, Issue 4

Volume 1, Issue 3

Volume 1, Issue 2

Volume 1, Issue 1

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Mission

The mission of the International Journal of Knowledge Discovery in Bioinformatics (IJKDB) is to increase awareness of interesting and challenging biomedical problems and to inspire new knowledge discovery solutions, which can be translated into further biological and clinical studies. IJKDB is aimed at researchers in the areas of bioinformatics, knowledge discovery, machine learning, and data structure, as well as practitioners in the life sciences industry. In addition to original research papers in bioinformatics, this journal emphasizes software and tools that exploit the knowledge discovery techniques to address biological problems and databases that contain useful biomedical data generated in wet and dry labs. IJKDB encompasses discovery notes that report newly found biological discoveries using computational techniques and includes reviews and tutorials on relevant computational and experimental techniques for translational research and knowledge discovery in life sciences.