BioData Mining

Journal Title

BioData Mining

BIODATA MIN

ISSN / eISSN

1756-0381 / 1756-0381

Aims and 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.

Subject Area

MATHEMATICAL & COMPUTATIONAL BIOLOGY

CiteScore

6.00 View Trend

CiteScore Ranking

Category	Quartile	Rank
Mathematics - Computational Mathematics	Q1	#22/172
Mathematics - Computational Theory and Mathematics	Q1	#24/165
Mathematics - Computer Science Applications	Q2	#209/792
Mathematics - Genetics	Q2	#127/328
Mathematics - Biochemistry	Q2	#190/428
Mathematics - Molecular Biology	Q3	#198/380

Web of Science Core Collection

Science Citation Index Expanded (SCIE)	Social Sciences Citation Index (SSCI)
Indexed	-

Category (Journal Citation Reports 2023)	Quartile
MATHEMATICAL & COMPUTATIONAL BIOLOGY - SCIE	Q1

H-index

23

Country/Area of Publication

ENGLAND

Publisher

BioMed Central

Year Publication Started

2008

Annual Article Volume

29

Open Access

YES

Contact

CAMPUS, 4 CRINAN ST, LONDON, ENGLAND, N1 9XW