News

02/20/2016: Adding binomial and Monte Carlo-based enrichment algorithms. Note that Monte Carlo enrichment calculations are very computationally expensive and currently limited to the enrichment analysis of 1 set of SNPs in no more than a 100 regulatory datasets.

Winter 2016: Extensive testing, design and documentation updates.

Summer 2015: The development of GenomeRunner continues with focusing on downstream analyses. Backed by systematically structured epigenomic data from the ENCODE, Roadmap Epigenomics and other projects, the enrichment, differential regulation-, cell type-specific and annotation analyses are aimed to maximize understanding of the potential regulatory impact of SNP sets.

12/15/2014: Design updates

12/01/2014: Database update for hg19 and mm9. Note that snp141 database is now used as a background.

11/19/2014: Bug fixes, interface updates.

08/14/2014: Full databases for hg18, hg38, mm9 and mm10 are online. Filtering by score and strand is available.

08/11/2014: New version of GenomeRunner is released as an open beta version. Full human hg19 database is available.

02/21/2014: Database update and optimization from February 8, 2014. Adding mm10 genome annotations.

02/09/2014: Software demo presentation is available Dozmorov_GR_software_demo_2014.pdf.

02/08/2014: Analysis tutorial and the example BED files are available on github. https://github.com/mdozmorov/gwas2bed and https://github.com/mdozmorov/R.genomerunner.

01/30/2014: GenomeRunner Web manuscript submitted

01/25/2014: Parallelized version of GenomeRunner is deployed, resulting in optimized job runs and better responsiveness.

01/12/2014: GenomeRunner is selected for a software demonstration at AGBT 2014.

01/12/2014: Interface optimizations

01/08/2014: Visualizing code updated, now using json objects. Statistical calculations made more robust against outliers.

12/10/2013: Interface makeover, database update

12/04/2013: GenomeRunner Web is online