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• Reduced-representation bisulfite sequencing generated from 2 glioblastoma cell lines subjected to hypoxic and irradiation stress

  This dataset includes 60 BAM files from HF2354, HF3016 glioblastoma cell lines subjected to continuous stress (hypoxia, 3-day and 9-day), stress followed by recovery (irradiation, 4-day stress exposure and 5-day recovery), and no stress/normoxia controls and profiled using reduced-representation bisulfite sequencing.

  Dataset EGAD00001007770

• two tables containing RNASeq expression values to patients with RNA-Seq data in the study "Comprehensive genomic characterization of refractory multiple myeloma (H067)"

  two tables containing RNASeq expression values to patients with RNA-Seq data in the study "Comprehensive genomic characterization of refractory multiple myeloma (HIPO_067)". From the bam files gene expression was calculated with the annotation of Gencode.v19. Raw Counts and TPM values are given in one table, the other contains filtered TMM normalized CPM values (genes < 1CPM omitted).

  Dataset EGAD00001008363

• RNA-seq data from primary AML samples with t(3;8)

  RNA-seq was generated to investigate differences in gene expression between t(3;8) AML and other primary AMLs. Briefly, sample libraries were prepared using 500 ng of input RNA according to the KAPA RNA HyperPrep Kit with RiboErase (HMR) (Roche) using Unique Dual Index adapters (Integrated DNA Technologies, Inc.). Amplified sample libraries were paired-end sequenced (2x100 bp) on the Novaseq 6000 platform (Illumina

  Dataset EGAD00001006819

• The Xq22.3 contiguous gene deletion syndrome (ATS-ID): from genotype to further delineation of the phenotype

  Approximately 200 ng of high-quality of genomic DNA samples were used for library preparation. DNA libraries were prepared using the Human Core Exome Kit according to manufacturer’s recommendations (Twist Bioscience, San Francisco, CA, USA) and then sequenced on Illumina NovaSeq 6000 (Illumina, Inc., san Diego, CA, USA). Detailed protocol of WES data processing and variant analysis are available in Supplementary data.

  Dataset EGAD00001007740

• Clonality of circulating tumor cells in breast cancer brain metastases patients

  The incidence of brain metastases in breast cancer (BCBM) patients is increasing. These patients have a very poor prognosis and therefore identification of blood-based biomarkers, such as circulating tumor cells (CTCs) and understanding the genomic heterogeneity could help to personalize treatment options. In this study, DNA from individual CTCs as well as corresponding primary tumors and brain metastases were analyzed by next generation sequencing (NGS) in order to evaluate copy number aberrations and single nucleotide variations (SNVs).

  Dataset EGAD00001005020

• Whole genome sequencing of multifocal ileal neuroendocrine tumors

  This dataset includes whole genome sequences of 75 synchronous primary tumors, 15 metastases, and corresponding normal samples from 13 patients with multifocal ileal neuroendocrine tumors. The whole genomes were sequenced on Illumina HiSeq X Ten to generate 151-bp paired-end reads, which were aligned to GRCh38/hg38 reference assembly using BWA–MEM and duplicate-marked with Picard tools. GATK was utilized for base score recalibration and local indel re-alignments. The whole genomes are provided as CRAM files.

  Dataset EGAD00001008831

• Exome Sequencing of Poor Prognosis Acute Myeloid Leukaemia (2019-08-19)

  We plan to sequence the exomes of 4 AML cases (tumour and germline) in an effort to discover new mutations in this disease that could improve our understanding of leukaemogenesis and guide the development of new targeted therapies. The Sanger Institute will sequence the exomes of 4 Acute Myeloid Leukaemia cases including tumour and germline DNA so that somatically-acquired, AML-specific mutations can be accurately designated. . This dataset contains all the data available for this study on 2019-08-19.

  Dataset EGAD00001005265

• Genetic determinants of monocyte splicing are enriched for disease susceptibility loci including for COVID-19

  These data correspond to samples used in the following papers: 1. GWAS and meta-analysis identifies 49 genetic variants underlying critical Covid-19 2. Genetic determinants of monocyte splicing are enriched for disease susceptibility loci including for COVID-19. 3. Identification of Genetic Determinants of Transcriptional Response to Metformin in Primary Human Monocytes. They are the raw RNA sequencing files as used in all downstream analysis.

  Dataset EGAD00001010176

• Single-cell RNA and TCR sequencing of BALF from 11 ICI-pneumonitis patients and 6 controls

  Dataset containing the FASTQ files of RNA (scr*) and TCR (vdj*) sequencing of 17 bronchoalveolar lavage fluid samples collected from ICI pneumonitis (n=11) and control (n=6) patients. To comply with GDPR regulations, please note that individual sample identifiers used for this data deposit (alphabetical ID) are different from and cannot be traced back to the patient identifiers used throughout the manuscript (numerical ID).

  Dataset EGAD00001009723

• Circulating tumor DNA, pathological and immunologic responses to neoadjuvant nivolumab or nivolumab plus relatlimab and chemoradiotherapy in resectable esophageal/gastroesophageal junction cancer

  The dataset for the study “Circulating tumor DNA, pathological and immunologic responses to neoadjuvant nivolumab or nivolumab plus relatlimab and chemoradiotherapy in resectable esophageal/gastroesophageal junction cancer” includes 173 bam files from hybrid capture targeted error-correction next-generation sequencing (TEC-Seq) from plasma cell-free DNA and matched white blood cell DNA from 32 individuals with esophageal/gastroesophageal junction cancer, who received immunotherapy-containing regimens.

  Dataset EGAD00001011822