Call for participation.

The past decade has witnessed an exponential growth of biological data including genomic sequences, gene annotations, expression and regulation, and protein-protein interactions. A key aim in the post-genome era is to systematically catalogue gene networks and pathways in a dynamic living cell and apply them to study diseases and phenotypes. This workshop focuses on the reconstruction and analysis of gene networks and pathways in any organisms from high-throughput data collected through techniques such as microarray analysis and RNA-Seq.
Research areas include, but are not limited to

• large-scale or cross-species data integration for the reconstruction of networks and pathways
• module and feature analysis of networks and pathways and applications to diseases and other phenotypes
• quantitative understanding of dynamics of regulatory, signaling, interaction and metabolic networks through modeling and simulation techniques
• enhancement and enablement of pathway discovery through prior biological and biomedical knowledge available in databases and ontologies or extracted from the scientific literature using text mining techniques
• development of network visualization and analysis tools.  

The specific focus is on applying network and pathway generation and analysis approaches to study genome-wide data such as gene expression, ChIP-chip/ChIP-seq, genome-wide association studies, microRNAs and copy number variations (CNVs).
 
We invite you to submit papers with unpublished, original research describing recent advances on the areas related to this workshop. All papers will undergo peer review by the conference program committee; accepted papers will be published in the conference proceedings (in CD) and in the ACM Digital Library. Authors of selected papers will be invited to extend their papers for submission to several journals.