Dear colleague,

We invite you to submit a paper for a supplement to be published in Bioinformatics and Biology Insights in the next twelve months. The journal is extensively indexed and all published papers appear in Pubmed. The supplement focuses on current developments in machine learning techniques in biological data mining. In this supplement, we will discuss the use of machine-learning techniques to extract meaningful information from genetic and clinical data with the primary objective of answering pressing biomedical questions. Topics of interest include but are not limited to:

* Building predictive models for complex phenotypes from large-scale biological data
* Discovering biological networks and pathways underlying biological processes and diseases
* Processing of new/next-generation sequencing (NGS) data for genome structural variation analysis, discovery of biomarkers and mutations, and disease risk assessment
* Discovery of genotype-phenotype associations
* Novel methods and frameworks for mining and integrating big biological data
* Comparative genomics
* Metagenome analysis using sequencing data
* RNA-seq and microarray-based gene expression analysis
* Genome-wide analysis of non-coding RNAs
* Genome-wide regulatory motif discovery
* Correlating NGS with proteomics data analysis
* Functional annotation of genes and proteins
* Chemo-informatics: Drug discovery, Virtual screening and Combinatorial chemistry
* Knowledge discovery in clinical data and electronic medical records

If you are interested in contributing, please contact the guest editors Dr. Gaurav Pandey (gaurav.pandey@mssm.edu) and Dr. Gerard Dumancas (gerard.dumancas@okstate.edu) to discuss your contribution. In order to proceed, please submit a manuscript title and agreed submission date as soon as possible. Submissions must be received for peer review on or before June 1, 2015. We hope to hear from a lot of you!