EMBnet.news magazine has now expanded to become an open access, peer-reviewed journal, EMBnet.journal. The new journal will focus on routine data-analysis tasks, multi-faceted IT architectural infrastructures, and the challenges of data-driven life sciences research.
The first issue is available online now and focuses on next-generation sequencing data analysis.
Included in the maiden issue is a letter to the editor that discusses the Dicode EU project, an initiative that aims to exploit cloud computing, MapReduce, Hadoop, Mahout, and column databases to analyze and aggregate data existing in large and diverse sources.
Also included in the current issue is a paper entitled “GRID distribution supports clustering validation of large mixed microarray data sets.”
This paper describes a grid computing approach that drastically speeds up an unsupervised hierarchical clustering algorithm, called Chaotic Map Clustering, for sorting through microarray databases. Instead of taking days, this approach reduces search time to a few hours. They also offer an online service to cluster large microarray data sets via the Job Submission Tool portal.