International Journal of Knowledge Discovery in Bioinformatics

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Journal Properties
  • Number of Articles
    99
  • ISSN
    1947-9115
  • e-ISSN
    1947-9123
  • Publisher
    IGI Global
  • Indian UGC
  • DOAJ (latest)
Description
The International Journal of Knowledge Discovery in Bioinformatics (IJKDB) is a scholarly journal dedicated to exploring the intersection of data mining, machine learning, and bioinformatics. Its focus is on uncovering novel insights from biological data. First 150 characters: Bioinformatics using novel data mining and machine learning. Applications include drug discovery, health care and personalized medicine. This journal delves into a variety of topics, including genomic analysis, proteomics, systems biology, and personalized medicine. It highlights research that utilizes computational methods to analyze large-scale biological datasets, leading to new discoveries in disease mechanisms, drug targets, and treatment strategies. Key indexing databases include ACM Digital Library and DBLP. The target audience encompasses bioinformaticians, computer scientists, biologists, and healthcare professionals. IJKDB emphasizes the practical applications of knowledge discovery techniques in solving real-world problems in biology and medicine. It invites submissions that showcase innovative approaches and demonstrate significant advancements in the field. By publishing in this journal, researchers can contribute to the growing body of knowledge that is driving progress in bioinformatics and personalized healthcare.