Integrated new Browser for comparing and contrasting positive/negative signals in multiple studies.
Author Archives: rcf8
Multiple studies can now be compared using our sophisticated new browser. We have also extended the database with data from over a hundred new studies:
1. NHGRI GWAS Catalogue
2. An Open Access Database of Genome-wide Association Results
This release (v2.2) provides tools to create and view marker reports containing:
1. The most significant markers in a single study through the studies list and individual study reports.
2. The most significant markers in selected studies through the browser.
3. All markers used in selected studies within a region of interest, using our browser Region View.
Additional features in the visualisation tools including log/linear scales and improved gene display.
Additional refinements to visualisation tools. This includes instant access to Genome Views in a Study (with a switchable linear or log based scale), improved gene information in the genome region view and easy access to significance and display settings.
HGVmart data mining service enabled. New genome viewer and analysis tool for G2P datasets. DAS support enabled.
The graphical display of association signals in HGVbaseG2P has been made more powerful and informative via a new approach to data visualisation that presents information in genome-wide and chromosomal contexts, as well as at higher resolution alongside gene maps. Data presentation parameters are customisable so that users can graphically explore datasets to locate biologically significant regions and markers.
HGVbaseG2P now provides Distributed Annotation System (DAS) functionality so that datsets of interest can be remotely viewed in Ensembl or any other DAS compatible browser.
The content of HGVbaseG2P has been significantly increased by the addition of 8 new genome-wide association studies (GWAS), including data from the Wellcome Trust Case Control Consortium.
Options for searching HGVbaseG2P have been dramatically enhanced by the launch of a new HGVmart function (based upon the BioMart technology) which enables sophisticated interrogation across all the datasets in HGVbaseG2P, and large scale data extraction.