BioData Mining
BioMed Central Ltd
United Kingdom
journal
SJR by Edition
Subject Categories
- BiochemistryQ1
- Computational MathematicsQ1
- Computational Theory and MathematicsQ1
- Computer Science ApplicationsQ1
- GeneticsQ1
- Molecular BiologyQ2
Areas: Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics
Most published research topics
Source: OpenAlex
Publication Statistics
Documents per Year
Detailed Information
ISSN
1756-0381
SJR Best Quartile
Q1
Region
Western Europe
Citations per Document (2 years)
9.74
References per Document
58.70
Coverage
2009-2026
Scope
BioData Mining is an open access, open peer-reviewed journal encompassing research on all aspects of data mining applied to high-dimensional biological and biomedical data, focusing on computational aspects of knowledge discovery from large-scale genetic, transcriptomic, genomic, proteomic, and metabolomic data. Topical areas include, but are not limited to: -Development, evaluation, and application of novel data mining and machine learning algorithms. -Adaptation, evaluation, and application of traditional data mining and machine learning algorithms. -Open-source software for the application of data mining and machine learning algorithms. -Design, development and integration of databases, software and web services for the storage, management, retrieval, and analysis of data from large scale studies. -Pre-processing, post-processing, modeling, and interpretation of data mining and machine learning results for biological interpretation and knowledge discovery.
Metrics from SCImago Journal Rank 2025. View on SCImago