Getting started
Enter your gene names of interest (official gene symbols, e.g. EGFR) into the text field. You can enter up to 20 genes.
Dataset
The heatmap depicts multi-ome data from the MONTE workflow ("hlaft") and the serial multi-omic enrichment workflow ("noip"). CNA and RNAseq are copied from the LUAD 2020 discovery dataset. HLA tracks show whether at least one class 1 or class 2 peptide was detected in the MONTE workflow. For other data types the heatmap depicts abundances observed in tumor relative to normal adjacent tissue (NAT).
| Type | # MONTE | # serial emrichment | # samples |
|---|---|---|---|
| Protein | 101580 | 104630 | 10 |
| Phosphosites | 221580 | 263920 | 10 |
| Acetylsites | 54350 | 38600 | 10 |
| Ubiquitylsites | 93950 | 94790 | 10 |
Getting started
Enter your gene name of interest (official gene symbols, e.g. PIK3CA) to view associated HLA-I and HLA-II sequences. Hover over participant names to view HLA-I types, or click the checkbox "show HLA-I typing" to view as a table.
Download HLA tables to see more information, including HLA typing and HLAthena predictions.
Getting started
Enter your gene names of interest (official gene symbols, e.g. EGFR) into the text field. You can enter up to 20 genes.
Dataset
Copy number aberrations are relative to matching normal blood sample and are on log2(CNA)-1 scale. For other data types the heatmap depicts abundances observed in tumor relative to normal adjacent tissue (NAT).
| Type | # features | # samples |
|---|---|---|
| CNA | 19267 | 100 |
| mRNA | 18099 | 100 |
| Protein | 10699 | 100 |
| Phosphosites | 41188 | 100 |
| Acetylsites | 6906 | 100 |
For more details please see our reference publication Gillette et al. Cell, 2020