TOPMed OMICS Progress Report
Last updated : 10/12/2024
This page reports TOPMed Omics data received by the IRC.
This page reports TOPMed Omics data received by the IRC.
This table shows aggregates across studies for many metrics of RNA-seq quality.
Cilck rows in the QC metrics table
Please log in using Google to download individual level QC results. Email tblackw@umich.edu if you aren't already on the whole genome sequence whitelist.
RNA-seq | Methylation | Metabolomics | Proteomics | Total by Center | |
---|---|---|---|---|---|
Broad | - | - | - | - | - |
NWGC | - | - | - | - | - |
NYGC | - | - | - | - | - |
USC | - | - | - | - | - |
Baylor | - | - | - | - | - |
Total by Type | - | - | - | - |
Technical:
Stranded, poly-A-selected RNA, 101 bp paired end NovaSeq, target 75 M reads per sample for blood samples, 50 M reads per sample for tissue, cell sorted or globin-depleted blood samples.
Illumina EPIC methylation array, ~850 k sites.
Four metabolomics assay types: C8-pos, C-18-neg, HILIC-pos (all untargeted), plus Amide-neg with multiple reaction monitoring for ~200 target metabolites.