23193 results for "ega"

in 26.23 milliseconds.

• PREDICT

  PREDICT/Predicting individual response and resistance to VEGFR/mTOR pathway therapeutic intervention using biomarkers discovered through tumour functional genomics.

  Study EGAS00001000094

• Myeloma_Follow_up_Pilot

  Targeted capture of exonic and intronic regions of interest for the study of genomic alterations in multiple myeloma.

  Study EGAS00001000743

• Neuroblastoma tumors by bulk RNAseq, from Berlanga et al, 2022

  To prouve the relevance of the use of PDX models derived from patient's tumors.

  Study EGAS00001007161

• SEARCH FOR BACTERIA IN NEURAL TISSUE FROM AMYOTROPHIC LATERAL SCLEROSIS

  The study aims to find bacteria in neural tissue from patients with amyotrophic lateral sclerosis

  Study EGAS00001003295

• Delineating intratumoural heterogeneity and neoantigen-directed immune escape in Esophageal Squamous Cell Carcinoma

  Delineating intratumoural heterogeneity and neoantigen-directed immune escape in Esophageal Squamous Cell Carcinoma

  Study EGAS00001003832

• In_Situ_Transcription_whole_genome_sequencing

  Whole genome sequencing of multifocal breast cancer regions. Intention to use this data to inform in-situ transcription analysis.

  Study EGAS00001001971

• Multi-omics Profiling of Asian Breast Cancers

  Whole exome and transcriptome sequencing data of primary tumors from 178 Korean breast cancer patients.

  Study EGAS00001002621

• The_identification_of_genetic_vulnerabilities_in_head_and_neck_cancers_for_the_development_of_novel_therapies

  CRISPR/Cas9 lethality screens in a set of Asian head and neck cancer cell lines to identify novel targets.

  Study EGAS00001002204

• ImmunoAgeing_Colonies_WGS

  Aim to determine age at acquisition of clonal haematopoiesis mutations, clonal architecture, and dynamics of clonal expansions.

  Study EGAS00001004280

• Multiple Sclerosis Replication Chip data (MS Chip)

  Genetic data typed with the MS Chip, designed by the International Multiple Sclerosis Genetics Consortium (IMSGC).

  Study EGAS00001003216