15128 results for "cancer studies using rna-seq"

in 83.73 milliseconds.

• Multi Omics of glioma in the the Chinese Glioma Genome Atlas (CGGA) project

  Study EGAS00001004729

• Mixed Histology Lung Cancers Driven by Transcriptomic Features rather than Genomic Characteristics

  Study EGAS00001005140

• Whole-genome and transcriptome sequencing of blastic plasmacytoid dendritic cell neoplasm

  Study EGAS00001003660

• Targeted next-generation sequencing of 13 chordoid gliomas of the third ventricle

  Study EGAS00001002733

• Multiscale heterogeneity in gastric adenocarcinoma evolution is an obstacle to precision medicine

  Study EGAS00001004525

• TK-EPN862 - Patient-dervied xenograft model of Posterior Fossa A Ependymoma - WGS

  Study EGAS00001006843

• Follicular Lymphoma Whole Genome and Transcriptome Sequencing

  Study EGAS00001006646

• Genomics-based characterization and personalized treatment in pleural and peritoneal mesothelioma

  Study EGAS00001007294

• Genome-wide DNA Copy Number Analysis of high hyperdiploid acute lymphoblastic leukemia

  Study EGAS00001007049

• Low_Coverage_Sequencing_of_rare_human_histiocytic_tumour

  Sequencing of rare human histiocytic tumour

  Study EGAS00001000768

• Sequencing_of_rare_human_histiocytic_tumour

  Sequencing of rare human histiocytic tumour

  Study EGAS00001000591

• Primary_angiosarcoma_Whole_Genome_Sequencing

  Whole genome sequencing of primary angiosarcoma

  Study EGAS00001000851

• Stromal cell diversity associated with immune evasion in human triple‐negative breast cancer

  Study EGAS00001005061

• University of Sydney Thyroid Cancer Data Access Committee

  This Data Access Committee (DAC) manages access to genomic data generated by the Thyroid Cancer Research Group at the University of Sydney and Royal North Shore Hospital. The DAC will evaluate data access requests to ensure they align with participant consent and the conditions approved by the Northern Sydney Local Health District Human Research Ethics Committee. Requests will be reviewed for scientific validity, alignment with the original consent, and compliance with institutional and regulatory data governance policies.

  Dac EGAC50000000661

• Targeted Sequencing Data for RESOLVE Clinical Trial

  This is a Phase II clinical trial. This research study is studying a combination of targeted therapies as a possible treatment for estrogen-receptor positive (ER+) endometrial cancer and low-grade serous ovarian cancer. The drugs involved in this study are: - Abemaciclib (also known as Verzenio™) - Letrozole (also known as Femara®) - Metformin (also known as Glucophage®) - Zotatifin (also known as eFT226) - Gedatolisib (also known as PF-05212384)

  Dataset EGAD50000001711

• Whole-genome sequencing study of uveal melanoma

  Uveal melanoma is the most common primary intraocular cancer, characterized by metastasis-related mortality. Here, we explored whole-genome sequences from 40 primary uveal melanomas to illustrate the landscape of genomic mutations and investigate their association with prognosis.

  Study EGAS50000001603

• Genetic landscape of pediatric ependymoma

  We performed whole-genome sequencing of 42 paired tumor/normal EPD genomes and analyzed somatically acquired single nucleotide variations (SNVs), insertion/deletions, structural variations and copy number variations in the cancer genomes

  Study EGAS00001000254

• Genetic landscape of pediatric Rhabdomyosarcoma

  We performed whole-genome sequencing of 13 paired tumor/normal Rhabdomyosarcoma genomes and analyzed somatically acquired single nucleotide variations SNVs, insertion/deletions, structural variations and copy number variations in the cancer genomes

  Study EGAS00001000256

• Genetic landscape of pediatric Osteosarcoma

  We performed whole-genome sequencing of 37 paired tumor/normal OS genomes and analyzed somatically acquired single nucleotide variations (SNVs), insertion/deletions, structural variations and copy number variations in the cancer genomes

  Study EGAS00001000263

• Whole Genome sequencing of colorectal cancer patients (SG-BULK-4)

  Whole Genome sequencing of colorectal cancer patients (SG-BULK-4)

  Dataset EGAD00001008625