Someof us are getting together at the NGS and NGS analytics meeting in Providence, RI during August 12-15th. Again, it is open to anyone.
Some ideas include:
-open source solutions
-Compressive genomics – what gets lost?
-Use of synthetic electronic health records as an experimental test bed for optimization of gene data storage
-Making sense out of unstructured data using natural language processing - the electronic health record
-Pattern-matching of patient profiles using pre-defined disease phenotypes based on clinical and genomic data for clinical decision support
-Optimizing the storage of methylated promoter sequence data - gene x environment data analysis
-Computational approaches for correlative measures of transcriptional activation and gene expression - integration and storage
-Big data analytics
-tranSMART and SMART
-HL7 formats and options – what works best for which omic data type?
-genotype-based, dose ranging algorithms
We are going to configure the output of this as a Nature publication.