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The Velsera suite of NIH-funded platforms including Cancer Genomics Cloud (CGC), BioData Catalyst Powered by Seven Bridges (BDC-Seven Bridges) and CAVATICA provide secure, interoperable and scalable biomedical data analysis solutions for governments, universities, institutions, and research consortia. The platforms enable a shared research environment that empower the users to bring …

A key challenge in data discovery is the coordination and assembly of datasets spanning multiple from across Data Coordination Centers on a cloud compute platform in a way that is both easy to use and meaningful. To meet this challenge, we have implemented a GA4GH Data Repository Service (DRS) manifest-based …

Seven Bridges (Velsera) is excited to announce the launch of the OmicCircos R shiny app on the Cancer Genomics Cloud (CGC) platform. The OmicCircos app has been developed in collaboration with the Dr. Daoud Meerzaman laboratory at the NCI, developers of the R Bioconductor OmicCircos package. The R shiny application …

GWAS results can be difficult to interpret, especially for those without a scripting background. Genome Wide Association Studies (GWAS) has revealed loci associated with common human genetic diseases such as coronary artery disease in genetically diverse populations.Single variant association tests are used in testing for association between genetic variants and …

This is a new RShiny App on the Cancer Genomics Cloud (CGC) that streamlines the way a CGC user can submit their data to dbGAP! The dbGaP Submission Form Suite app allows a user to easily import, map and prepare their data for import into the database of Genotypes and …

The 2nd DSI Africa Consortium Meeting kicked off on October 29th, 2022! This exciting conference brought together over 200 scientists and stakeholders from across Africa, and internationally. There, they exchanged ideas and showcased their work in Data Science and health. One of the scientists in attendance was Judy Wawira Gichoya, …

Machine learning is becoming ubiquitous in the bioinformatics space: applying machine learning algorithms to analysis of proteomics, genomics, and other -omics datasets has provided a wealth of analysis and interpretations of data not easily achievable by conventional methods. The CGC offers many helpful features for users performing machine learning (ML) …