Terra

Import GWAS datasets into Terra.

Perform quality control and data cleaning.

Run association tests using tools like PLINK or Hail.

Visualize and interpret results using RStudio or JupyterLab.

Share findings with collaborators securely.

Import scRNA-seq data into Terra.

Perform data preprocessing and normalization.

Cluster cells based on gene expression profiles.

Identify cell types and marker genes.

Visualize results using interactive dashboards.

Import WGS data into Terra.

Align reads to a reference genome.

Call variants using tools like GATK or DeepVariant.

Annotate variants with functional information.

Filter and prioritize variants based on clinical relevance.

Import clinical trial data into Terra.

Perform data cleaning and transformation.

Run statistical analyses to compare treatment groups.

Visualize results using interactive dashboards.

Generate reports for regulatory submissions.

Import genomic and proteomic data into Terra.

Integrate data from multiple sources.

Identify genes or proteins associated with disease.

Prioritize drug targets based on druggability and efficacy.

Validate targets using in vitro or in vivo experiments.