Epistasis Blog

From the Computational Genetics Laboratory at the University of Pennsylvania (www.epistasis.org)

Monday, October 22, 2012

Big data in the biological and biomedical sciences: biodata mining challenges and opportunities

Dear Colleague,

‘Big data in the biological and biomedical sciences: biodata mining challenges and opportunities’, a new cutting-edge thematic series from BioData Mining, is now accepting submissions. The goal of this innovative series is to explore data mining, data science, high-performance computing and software development for the new frontier of big data in the biological and biomedical sciences.

Big data, by definition, challenges our ability to move, store, manage, retrieve and analyze information to maximize knowledge generation. These informatics, information technology and data analysis challenges are compounded by the complexity of problems that are of practical importance. Our future success in biodata mining will depend critically on our ability to embrace and confront both the scale and the complexity of big data.

Potential topics include, but are not limited to:

 Mining high-dimensional data
 Visualizing big data
 Integrating diverse data
 Sharing complex data
 Computing big data

Please submit your manuscript via our online submission system, and state clearly in your covering letter that it is intended for the Big-data thematic series. For more information about the journal,contact us at editorial@biodatamining.org or visit our instructions for authors.

We look forward to receiving your submission,

Kind regards,

Prof Jason Moore, Editor-in-Chief
Dr Jesus Aguilar-Ruiz, Editor-in-Chief