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• 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

• Angiopredict Whole genome Shallow Sequencing

  Shallow sequencing of metastatic colorectal cancer samples for the Angiopredict and Nobev cohorts described in: van Dijk et al., JCO, in revision

  Dataset EGAD00001003990

• Primary Neuroblastoma Circle-seq Data

  Circle-seq data for 21 primary neuroblastoma samples supporting Koche et al. Extrachromosomal circular DNA drives oncogenic genome remodeling in neuroblastoma (2020).

  Dataset EGAD00001006580

• APCDR AGV Project: Low depth (4x) sequence data from an Ugandan population (BAMs)

  Low depth (4x) Illumina HiSeq raw sequence data for 100 unrelated Baganda from rural Uganda.

  Dataset EGAD00001001008

• Dataset for the "Study on the proliferation history of colorectal adenomas"

  Targeted genome sequences of the human X chromosome in 4 colorectal adenomas and 4 matched normal tissues from male patients

  Dataset EGAD00001000882

• RNA sequencing for gastric cancer ascites

  Whole transcriptome sequencing (RNA-seq) was performed on 39 PC specimens. Among them, 21 specimens also had WES data.

  Dataset EGAD00001004365

• SCNA-Seq of tumor DNA samples

  Low coverage whole genome sequencing for the identification of somatic copy number alterations (SCNA) and focal amplification mapping of corresponding tumor material

  Dataset EGAD00001002150

• Endometriosis

  Whole exome sequencing data for matched normal and endometriosis samples. Samples were prepared using Agilent Sureselect capture kit, and sequenced on an Illumina HiSeq 2500. The submitted files are in BAM format.

  Dataset EGAD00001004964

• Rio Dataset

  Homologous recombination DNA repair deficiency and PARP inhibition activity in primary triple negative breast cancer. RNA-Seq data for paired baseline and end of treatment samples

  Dataset EGAD00001006120

• Liver Tumours WGS (2020-02-20)

  The aim of this study is to define the mutational landscape of human liver tumours. . This dataset contains all the data available for this study on 2020-02-20.

  Dataset EGAD00001005993