22948 results for "ega"

in 19.14 milliseconds.

• Mechanism of action and resistance to Trastuzumab Deruxtecan in patients with metastatic breast cancer: the DAISY trial

  Study EGAS00001006905

• Establishment and characterization of a new Pseudomonas aeruginosa infection model using 2D airway organoids and dual RNA sequencing

  Study EGAS00001007463

• Copy number profiling of circulating cell-free DNA from high grade serous ovarian cancer patients

  Study EGAS00001004670

• Navarrabiomed DAC for XPAND project

  This DAC is created for the XPAND project by the Translational Bioinformatics unit.

  Dac EGAC50000000462

• DAC Fondazione Michelangelo

  This is the DAC responsible for granting access to sequencing data generated by Fondazione Michelangelo

  Dac EGAC50000000179

• sncRNAseq human islets

  small non-coding RNA sequencing of 3 non diabetic donors and 3 donors with T2D.

  Dac EGAC50000000539

• Uni_Wue_Chair of Microbiology

  Dual RNA seq datasets of M2 sequenced macrophages after chlamydia infection for 30 hours.

  Dac EGAC50000000577

• Low input capture Hi-C (liCHi-C) identifies promoter-enhancer interactions at high-resolution.

  Study EGAS00001006305

• Residual ctDNA after treatment predicts early relapse in patients with early-stage non-small cell lung cancer

  Study EGAS00001005967

• An integrated multi-omic cellular atlas of human breast cancers

  Study EGAS00001005173

• South African Blood Regulatory (SABR) Resource Committee

  Data access committee for the South African Blood Regulatory (SABR) Resource.

  Dac EGAC50000000501

• OICR-DAC, Ontario Institute for Cancer Research; Biliary Tract Cancer

  Next Gen Sequencing data from Biliary Tract Cancers

  Dac EGAC50000000528

• Genentech Colon Cancer Screen

  Study EGAS00001000288

• Oncogenic and immunological targets for matched therapy of pediatric blood cancer patients: Dutch iTHER study experience

  Study EGAS00001008218

• DAC Polansky lab Berlin

  Data access committee consists of Dr. Julia Polansky, julia.polansly-biskup@bih-charite.de

  Dac EGAC50000000670

• Enhancer profiling to identify identifies epigenetic markers of endocrine resistance in metastatic castration resistant prostate cancer patients

  Study EGAS00001006161

• NGS WGS Data - COMPASS

  Whole Genome Sequencing data from the COMPASS cohort and trial

  Dataset EGAD50000001584

• Leukemia Data Access committee for the deposited data. The committee consists of the principal investigators for the data set.

  Dac EGAC00001003565

• DAC for "Establishment and characterization of circulating tumor cells-derived organoids from metastatic breast cancer patients."

  Dac EGAC00001003514

• Longitudinal single-cell RNA-seq data of metastatic ovarian cancer

  Study EGAS00001005010

• Neoantigens in bladder cancer

  Detection of spontaneous anti-neoepitope T-cell responses in non-metastatic bladder cancer patients

  Dac EGAC50000000740

• Methylation data for Genomic landscapes of endometrioid and mucinous ovarian cancers and morphologically similar tumor types

  Study EGAS00001008175

• Epigenome-wide methylation analysis of colorectal carcinoma, adenoma and normal tissue reveals novel biomarkers addressing unmet clinical needs

  Dac EGAC00001003510

• Lower respiratory tract single cell and neutrophil extracellular trap profiling of COVID-19-associated pulmonary aspergillosis

  Study EGAS00001007556

• Liberate Cohorts

  This DAC will govern access to WES data associated with publications belonging to Liberate Cohorts

  Dac EGAC50000000455

• Breast Cancer Association Consortium Data Access Coordinating Committee

  Data access committee for the Breast Cancer Association Consortium (BCAC).

  Dac EGAC50000000824

• The INFORM Precision Medicine Study for High-Risk Pediatric Malignancies

  Study EGAS00001005112

• Single-cell multi-omic profiling of glioblastoma-associated myeloid cells

  Study EGAS00001004871

• The cell free DNA methylome of primary and metastatic prostate tumors

  Study EGAS00001005522

• Cancer Research UK Cambridge Institute

  A department of the University of Cambridge and Cancer Research UK funded Institute

  Dac EGAC50000000683

• ICR_WES_pHGG

  Whole Exome sequencing of paediatric High Grade Gliomas

  Dataset EGAD00001003762

• Identifying_Novel_Fusion_Genes_in_Myeloma

  To identify novel fusion genes in Myeloma samples

  Study EGAS00001000220

• dataset_CML_WGS_pairend_bam

  dataset CML WGS pairend bam

  Dataset EGAD00001002058

• CPC-GENE Prostate Cancer Heterogeneity Study

  Aligned Sequence (bam format), Duplicates removed

  Dataset EGAD00001001329