RNA-Seq Read Counts from the CheckMate-9ER Clinical Trial
RNA-sequencing was performed on formalin-fixed, paraffin-embedded tumor samples obtained at baseline (pretreatment). Whole-transcriptome RNA-seq libraries were prepared using TruSeq Stranded Total RNA Kit with Ribo-Zero (Illumina) following a validated standard operating procedure. Libraries were sequenced using NovoSeq (Illumina) following 2 × 100 paired-end sequencing, targeting a depth of 80 million reads. Raw RNA-seq reads were aligned and filtered using STAR v2.6.0c.10 After removing microbial contaminants, sequences were aligned to the human reference genome GRCh38 using the Ensembl 91 gene model, and read counts were quantified using RSEM. Read counts are provided.
- 30/06/2026
- 453 samples
- DAC: EGAC00001003376
- Technology: Illumina NovaSeq 6000
- Archive: European Genome-phenome Archive (EGA)
DUO:0000026 version: 2021-02-23
user specific restriction
This data use modifier indicates that use is limited to use by approved users.
DUO:0000027 version: 2021-02-23
project specific restriction
This data use modifier indicates that use is limited to use within an approved project.
Requests for access the BMS accession numbers in EGA a request must be submitted through the “Request Data” button on the EGA website.
Access to this data is restricted. Data access requests must be submitted through the “Request Data” button on the EGA website. Upon receipt of a request, the BMS Data Sharing team will coordinate execution of a Data Access Agreement. Access to the data will be granted only after the agreement has been fully executed. We are committed to providing you with answers to your questions and concerns. Please contact us using the information below, and we will respond to your inquiry as quickly as possible. Technical Support: RDD_DataSpecimenRequests@bms.com
Studies are experimental investigations of a particular phenomenon, e.g., case-control studies on a particular trait or cancer research projects reporting matching cancer normal genomes from patients.
| Study ID | Study Title | Study Type |
|---|---|---|
| EGAS50000001905 | Cancer Genomics |
This table displays only public information pertaining to the files in the dataset. If you wish to access this dataset, please submit a request. If you already have access to these data files, please consult the download documentation.
| ID | File Type | Size | Quality Report |
Located in
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|---|---|---|---|---|
| EGAF50000904662 | csv | 85.0 MB |
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| 1 File (85.0 MB) | ||||
