BDC - sporedata/researchdesigneR GitHub Wiki

General description

The NHLBI BioData Catalyst (BDC) is designed to be agile and responsive to the ever-changing biomedical science and data community conditions. BDC is a cloud-based ecosystem providing tools, applications, and workflows to enable research investigators to find, access, share, store, and compute blood, heart, lung, and sleep data resources on large-scale datasets in secure workspaces.

This way, BDC builds a collaborative community of practice working to solve technical and scientific challenges.

Related publications

• Building a collaborative cloud platform to accelerate heart, lung, blood, and sleep research
• The genetic determinants of recurrent somatic mutations in 43,693 blood genomes
• Cloud-based biomedical data storage and analysis for genomic research: Landscape analysis of data governance in emerging NIH-supported platforms
• AFA: Ancestry-specific allele frequency estimation in admixed populations: The Hispanic Community Health Study/Study of Latinos
• STAAR workflow: a cloud-based workflow for scalable and reproducible rare variant analysis
• Dug: a semantic search engine leveraging peer-reviewed knowledge to query biomedical data repositories
• GAWMerge expands GWAS sample size and diversity by combining array-based genotyping and whole-genome sequencing
• Global perspectives on CYP2D6 associations with primaquine metabolism and Plasmodium vivax radical cure
• Elucidating the genetic architecture of DNA methylation to identify promising molecular mechanisms of disease
• Whole genome DNA and RNA sequencing of whole blood elucidates the genetic architecture of gene expression underlying a wide range of diseases
• Whole genome sequencing identifies structural variants contributing to hematologic traits in the NHLBI TOPMed program
• Powerful, scalable and resource-efficient meta-analysis of rare variant associations in large whole genome sequencing studies
• Genetic Modifiers of Cystic Fibrosis Lung Disease Severity: Whole-Genome Analysis of 7,840 Patients
• Direct estimation of regional lung volume change from paired and single CT images using residual regression neural network
• Investigating Gene–Diet Interactions Impacting the Association Between Macronutrient Intake and Glycemic Traits

Data access

More information about BDC can be found at https://biodatacatalyst.nhlbi.nih.gov/

To access BDC data, visit https://biodatacatalyst.nhlbi.nih.gov/resources/data/