Announcing a new open access journal

BioData Mining is an open access, peer-reviewed, online journal soon to be launched by BioMed Central.

BioData Mining considers articles in 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.

All manuscripts submitted to BioData Mining will be peer reviewed by recognized experts in the field. Peer review for the journal will be open, meaning reviewers' names are included on the peer review reports, and reports are made publicly available. Final decisions will be made by the Editors-in-Chief.

BioData Mining is accepting submissions; please use the online submission system to submit your manuscript. For all enquiries about the journal, please contact: ritchie@chgr.mc.vanderbilt.edu.

BioData Mining is published by BioMed Central, an independent publishing house committed to ensuring peer-reviewed biomedical research is open access - immediately and permanently available online without charge or any other barriers to access.

Learn more about bringing your journal to BioMed Central, the open access publisher.