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• Genome and transcriptome sequence data from a metastatic breast cancer patient

  Genome and transcriptome sequence data from a metastatic breast cancer patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001004928

• Genome and transcriptome sequence data from a metastatic breast cancer patient

  Genome and transcriptome sequence data from a metastatic breast cancer patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001004929

• Genome and transcriptome sequence data from a metastatic ovarian cancer patient

  Genome and transcriptome sequence data from a metastatic ovarian cancer patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001004930

• Genome and transcriptome sequence data from a metastatic melanoma patient

  Genome and transcriptome sequence data from a metastatic melanoma patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001004931

• Genome and transcriptome sequence data from a metastatic pancreatic adenocarcinoma patient

  Genome and transcriptome sequence data from a metastatic pancreatic adenocarcinoma patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001004932

• Genome and transcriptome sequence data from a oligometastatic colorectal cancer patient

  Genome and transcriptome sequence data from a oligometastatic colorectal cancer patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001004935

• Genome and transcriptome sequence data from a metastatic rectal carcinoma patient

  Genome and transcriptome sequence data from a metastatic rectal carcinoma patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001004936

• NICOLA Epigenetic Data Wave 1 - Beta values

  Beta values generated from Illumina EPIC methylation array data for a subset of NICOLA Wave 1 samples.

  Dataset EGAD50000001965

• Raw RNA sequencing of hepatoblastoma PDX cell line HB-303-LEF

  This dataset contains raw RNA sequencing data for hepatoblastoma PDX cell line HB-303-LEF

  Dataset EGAD50000001358

• iPSC alignment file (CRAM) for EBiSC

  EBiSC Whole Genome Sequencing processed CRAM

  Dataset EGAD00001003942

• iPSC Samples for EBiSC

  EBiSC Whole Genome Sequencing raw FASTQ

  Dataset EGAD00001003882

• RNA-seq data of LMS tumors

  This dataset contains paired fastq files for LMS tumor samples

  Dataset EGAD00001003828

• FFPE Normal Panel V3 Cancer Panel

  FFPE normal panel generation for use with V3 cancer panel 0618521

  Dataset EGAD00001001122

• RnaSeq samples for 25 UPS samples

  Whole Transcriptiome Rnaseq of 25 UPS samples - raw FastQ sequences, 125x2 nc Paired End Reads, min 30M PE, HiSEq technology

  Dataset EGAD00001006355

• Solve RD data - Short-Read Whole-Genome Sequencing, raw data, tuh-kounap_group samples

  Solve-RD SR-WGS data generated for 3 samples provided by the group tuh-kounap

  Dataset EGAD00001015514

• ESGI___Whole_Genome_Sequencing_of_samples_from_the_INGI_Val_Borbera_genetic_isolate__X10_

  Whole genome sequencing of sampels from an isolated population from the Val Borbera valley in Italy. The samples are sequenced using the Illumina HiSeq X Ten system.

  Study EGAS00001001123

• RNA Seq OMELib

  The transcriptional landscape of haematopoietic cells will be characterized by RNA Seq following amplification of RNA/cDNA and preparation of libraries by PTA(primary template-directed amplification). Samples have been sourced from the Cambridge Biobank.

  Dataset EGAD00001015252

• Whole genome sequencing OMElib

  The mutational landscape of haematopoietic cells will be characterized by WGS following amplification of DNA and preparation of libraries by PTA(primary template-directed amplification). Samples have been sourced from the Cambridge Biobank.

  Dataset EGAD00001015251

• scRaCH-seq fastq files

  We base called the raw data of nanopore sequencing using the Guppy software (v3.1.5) with “dna_r9.4.1_450bps_sup_prom.cfg” configuration. The passed reads (Qscore > 9) are deposited in this EGA study.

  Study EGAS50000000165

• A108759B

  Whole genome sequencing for single cells for library A108759B 1134 cells; filetype=bam

  Dataset EGAD00001007088

• A108768B

  Whole genome sequencing for single cells for library A108768B 1126 cells; filetype=bam

  Dataset EGAD00001007089

• WGS files for Klco RPAML

  WGS files for Klco RPAML study titled "Genomics of pediatric myeloid neoplasms"

  Dataset EGAD00001008413

• Mucosal 16S metadata

  Metadata for 16S-V4 rRNA gene sequence data for intestinal biopsies from NCT02749630 trial participants.

  Dataset EGAD00001008823

• Single Cell Genome Sequence for DLP+ library A108765A

  Single Cell Genome Sequence for high grade serous ovarian carcinoma patient-derived xenograft SA1181A passage 1 on DLP library A108765A

  Dataset EGAD00001009428

• Single Cell Genome Sequence for DLP+ library A110660A

  Single Cell Genome Sequence for triple negative breast cancer patient-derived xenograft SA610 passage 3 on DLP+ library A110660A

  Dataset EGAD00001009430