TABLE 6.
Responses generated by Vidura for the sample user query “help me with RNAseq analysis sub-workflow”.
| User Proficiency | Vidura Response Text | Chained Recommender Systems |
|---|---|---|
| Novice User (Quadrant I) | RNAseq analysis sub-workflow is used to perform quantification of gene expression from RNAseq transcriptomics NGS datasets & conducting statistical analysis to discover differential expressed genes. Follow below instruction to get started with it Type ‘publication’ to get publication related to RNAseq analysis. Type ‘tools’ or ‘datasets’ to get suggestion on tools & datasets. Type ‘Jupyter Notebooks’ to get relevant Jupyter Notebooks. Type ‘scholars’ to get suggestion on experts. Type ‘cloud’ to get suggestion on cloud resources. |
Guided User Interface with below recommender chained with chatbot Publication Recommender (Suggestion for ‘RNAseq analysis sub-workflow’,’single cell RNAseq analysis’, ‘second single cell RNAse’, ‘gene expression analysis’, ‘RNAseq analysis sub-workflow on cloud resources’) Jupyter Notebook Recommender (Suggestion for ‘Cell Ranger’) Domain-specific Topic Recommender (Suggestion for ‘scRNAseq tools’, ‘RNAseq analysis tools’) Scholar Recommender (Suggestion for ‘scRNAseq expert’, ‘cloud resources’) Cloud Solution Template Recommender (Suggestion for ‘scRNAseq workflow on cloud’) |
| Bioinformatics Expert (Quadrant II) | Follow below instruction to get started with RNAseq analysis sub-workflow. Follow below instruction to get started with it. Type ‘publication’ to get publication related to cloud resources. Type ‘scholars’ to get suggestion on experts on cloud resources. Type ‘cloud’ to get suggestion on cloud resources. |
Guided User Interface with below recommender chained with chatbot Publication Recommender (Suggestion for ‘RNAseq analysis sub-workflow on cloud resources’) Scholar Recommender (Suggestion for ‘cloud resources’) Cloud Solution Template Recommender (Suggestion for ‘scRNAseq workflow on cloud’) |
| HPC Experts (Quadrant III) | RNAseq analysis sub-workflow is used to perform quantification of gene expression from RNAseq transcriptomics NGS datasets & conducting statistical analysis to discover differential expressed genes. Follow below instruction to get started. Type ‘publication’ to get publication related to RNAseq analysis. Type ‘tools’ or ‘datasets’ to get suggestion on tools & datasets. Type ‘Jupyter Notebooks’ to get relevant Jupyter Notebooks. Type ‘scholars’ to get suggestion on experts. |
Guided User Interface with below recommender chained with chatbot Publication Recommender (Suggestion for ‘RNAseq analysis sub-workflow’, ‘single cell RNAseq analysis’, ‘second single cell RNAse’, ‘gene expression analysis’) Jupyter Notebook Recommender (Suggestion for ‘QC and data filtration’) Domain-specific Topic Recommender (Suggestion for “scRNAseq tools”, “RNAseq analysis tools”) Scholar Recommender (Suggestion for “scRNAseq expert”) |
| Bioinformatics & HPC Experts (Quadrant IV) | You can directly start RNAseq analysis sub-workflow using cloud resources. Type ‘cloud’ to get suggestion on cloud resources. |
Directly start RNAseq analysis sub-workflow cloud resources |