15407 results for "1 mil coins fc 26 Visit Buyfc26coins.com for latest FC 26 coins news..buoc"

in 22.46 milliseconds.

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

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

  Dataset EGAD00001002647

• 112 "KOREAN" never-smoker female adenocarcinoma exome-seq

  All sequencing was performed within the DNAlink (Korea) by using the Solexa sequencing technology (Illumina, San Diego, CA). 1 ug of genomic DNA was sheared to an average size of 150 bp by using the Covaris System. The libraries were prepared by using TruSeq DNA Sample Prep Kit (Illumina). The purified DNA library was hybridized with the SureSelect Human All Exon V3 probe set (Agilent Technologies) to capture 50 Mb of targeted exons following the manufacturer’s instructions. Exome capture was carried out using the Agilent SureSelect Human All Exon 50Mb Kit. The captured exome libraries were sequenced on the Illumina HiSeq2000 using the manufacturer’s recommended protocols.

  Dataset EGAD00001005126

• Genome and transcriptome sequence data from an alveolar soft part sarcoma patient

  Genome and transcriptome sequence data from an alveolar soft part sarcoma patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001005909

• Genome and transcriptome sequence data from a gastroesophageal junction adenocarcinoma patient

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

  Dataset EGAD00001005910

• Genome and transcriptome sequence data from a colon adenocarcinoma patient

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

  Dataset EGAD00001005911

• Genome and transcriptome sequence data from an unknown tissue unknown histology patient

  Genome and transcriptome sequence data from an unknown tissue unknown histology patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001005912

• Genome and transcriptome sequence data from an osteosarcoma patient

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

  Dataset EGAD00001005913

• Genome and transcriptome sequence data from a squamous cell carcinoma patient

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

  Dataset EGAD00001005908

• Genome and transcriptome sequence data from a pancreatic adenocarcinoma patient

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

  Dataset EGAD00001005907

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

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

  Dataset EGAD00001005903

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

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

  Dataset EGAD00001005904

• Genome and transcriptome sequence data from an adenocarcinoma patient

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

  Dataset EGAD00001005905

• BRCA2, ATM, and CDK12 defects differentially shape prostate tumor driver genomics and clinical aggression

  This dataset contains all available targeted exon sequencing bam files from our study, "BRCA2, ATM, and CDK12 defects differentially shape prostate tumor driver genomics and clinical aggression". Patient identifiers are denoted by the first segment of the sample aliases (e.g. "P1"), and additional information is appended to reflect which sample is referenced. These include serial cfDNA samples ("-1", "-2", "-3", etc.), paired white blood cell or benign tissue control samples ("-Control"), or primary archival tissue samples derived from a diagnostic biopsy, prostatectomy, or transurethral resection of the prostate ("-Tissue"). All samples were sequenced using Illumina technology.

  Dataset EGAD00001006733

• IG-MYC ALL - DNA and RNA sequencing

  The dataset is composed by the raw RNA sequencing (n=6), targeted DNA sequencing (n=18) and whole exome sequencing (n=17) from 19 patients with IG-MYC-rearrangements.

  Dataset EGAD00001008705

• Human primary melanoma project

  Mutational burden and profiles to be studied in approx. 500 human primary melanomas with matched normal samples, part of the Leeds melanoma cohort. New custom design targeted capture panel covering melanoma-specific copy number alterations, promoter mutations, gene fusions, coding genes, HLA regions and IFNg/JAK/STAT pathway genes.

  Dataset EGAD00001008360

• Genome and transcriptome sequence data from a rosette-forming glioneuronal tumor (RGNT) tumor patient

  Genome and transcriptome sequence data from a rosette-forming glioneuronal tumor (RGNT) patient, generated as part of the BC Cancer Agency's Pediatric Personalized Onco-Genomics study

  Dataset EGAD00001015320

• Genome and transcriptome sequence data from a metastatic malignant peripheral nerve sheath tumor tumor patient

  Genome and transcriptome sequence data from a metastatic malignant peripheral nerve sheath tumor patient, generated as part of the BC Cancer Agency's Pediatric Personalized Onco-Genomics study

  Dataset EGAD00001015322

• Genome and transcriptome sequence data from a diffuse midline glioma, H3K27 mutant tumor patient

  Genome and transcriptome sequence data from a diffuse midline glioma, H3K27 mutant patient, generated as part of the BC Cancer Agency's Pediatric Personalized Onco-Genomics study

  Dataset EGAD00001015326

• Genome and transcriptome sequence data from a CNS non-germinoma germ cell tumour tumor patient

  Genome and transcriptome sequence data from a CNS non-germinoma germ cell tumour patient, generated as part of the BC Cancer Agency's Pediatric Personalized Onco-Genomics study

  Dataset EGAD00001015327

• Genome and transcriptome sequence data from a GBM (H3 K27M mutant) tumor patient

  Genome and transcriptome sequence data from a GBM (H3 K27M mutant) patient, generated as part of the BC Cancer Agency's Pediatric Personalized Onco-Genomics study

  Dataset EGAD00001015328

• Genome and transcriptome sequence data from a high-grade glioma, glioblastoma tumor patient

  Genome and transcriptome sequence data from a high-grade glioma, glioblastoma patient, generated as part of the BC Cancer Agency's Pediatric Personalized Onco-Genomics study

  Dataset EGAD00001015336

• WGS dataset of Characterization of UV DNA damage in B-cell precursor acute lymphoblastic leukemia

  Extensive characterization of mutational signature SBS7a in B-cell precursor acute lymphoblastic leukemia (BCP-ALL) samples. We aimed to describe the presentation of SBS7a in BCP-ALL, identify other pediatric cancers presenting with SBS7a, look into the link of SBS7a and UV-light in the context of BCP-ALL and cancers with provable UV exposure, and pinpoint when SBS7a was acquired.

  Dataset EGAD00001015599

• Helmholtz Centre for Infection Research, Centre for Individualised Medicine

  Dac EGAC00001002303

• DAC for Sarcopenia HNSCC

  Data access committee for Sarcopenia HNSCC study

  Dac EGAC50000000420

• Center for Technology Licensing at Cornell University for data associated with Nature Medicine 2024 paper

  For data access to plasma/tumor/normal samples from the manuscript "Ultrasensitive plasma-based monitoring of tumor burden using machine learning-guided signal enrichment" from Widman et al. Nature Medicine 2024

  Dac EGAC50000000207