Table 1.
Summary of features in ASPIREdb.
| Feature | Description |
|---|---|
| Security | |
| Access control list | Data access is restricted to project owners, administrators and collaborators. Projects can be shared between users of the same user group. |
| Visualization | |
| Label Manager | Labels help identify subjects or variants of interest visually. Labels can also be used as a filter criteria. |
| Ideogram viewer | Quickly get an overview of where in the genome the variants are located. Variants can be colored by type and label. |
| Phenotype heatmap | Subjects and phenotype values are displayed in a heatmap with automatic clustering along rows and columns. |
| Interactive user interface | Interactive highlighting of subject, variants and phenotypes. |
| Analysis | |
| Query interface | Build simple queries such as filtering variants by location to more complex queries that involve both location and get set overlap. |
| Burden Analysis | Group patients by subject labels and compare differences between subject groups. For example, do patients in one group tend to have more variants that affect genes? Is a group more enriched for a certain phenotype? |
| Gene set manager | Upload set of genes of interest and identify which variants are located in these genes. |
| Compound heterozygote detection | Identify which variants are in the same gene of each patient. |
| Phenotype contingency table | Quickly stratify subjects based on a subset of phenotypes. |
| Gene annotation | Ensembl genes are automatically assigned to variants. |
| Integration | |
| Human Phenotype Ontology integration | Lookup HPO IDs and display the corresponding HPO terms. Parent and child HPO terms are resolved during a Phenotype filter. |
| Gemma integration | Look for genes that are coexpressed with the genes hit by a variant. |
| Phenocarta integration | Display genes associated with an HPO phenotype. |
| UCSC Genome Browser integration | View variants as UCSC tracks and highlight genomic features such as sequence conservation, regulatory regions and expression levels. |
| DECIPHER and DGV Overlap | Identify which variants are found in patients (DECIPHER) and controls (DGV). |
| Reports | |
| Variant Report | Display the frequency of variants for the selected variant characteristic as a table or barchart format. Variant lengths are displayed as a histogram which can be Log2 transformed. Barcharts are grouped by Subject Labels. |