Logo - springer
Slogan - springer

Life Sciences - Systems Biology and Bioinformatics | BioData Mining

BioData Mining
BioMed Central

BioData Mining

Editors-in-Chief: J. Aguilar-Ruiz; J.H. Moore

ISSN: 1756-0381 (electronic version)

Journal no. 13040

BioMed Central

Open access BioMed Central
  • About this journal

  • A leading Open Access journal in the field
  • Prestigious and international editorial board
  • Unlimited supplementary files, raw data and colour figures
  • Rigorous and rapid peer review (first decision provided within 6 weeks)
BioData Mining publishes original articles 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.

Related subjects » Bioinformatics - Computational Science & Engineering - Database Management & Information Retrieval - Systems Biology and Bioinformatics

Impact Factor: 1.535 (2013) * 

Journal Citation Reports®, Thomson Reuters

Abstracted/Indexed in 

PubMed, PubMedCentral, SCOPUS, INSPEC, EMBASE, Chemical Abstracts Service (CAS), Google Scholar, EBSCO, CSA, Academic OneFile, Academic Search, ACM, CSA Environmental Sciences, Expanded Academic, Health Reference Center Academic, OCLC, SCImago, Summon by ProQuest

Read This journal on BioMed Central

For authors and editors


  • Journal Citation Reports®, Thomson Reuters
    2013 Impact Factor
  • 1.535