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• The Chinese University of Hong Kong (CUHK) Circulating Nucleic Acids Research Group (CNARG)

  Dac EGAC00001002733

• The University of Hong Kong Gastric Cancer Organoids RHO Signaling Study Data Access Committee

  Dac EGAC00001002705

• scATAC-seq and combined scRNA-seq of the human first trimester neurodevelopment

  Study EGAS00001007472

• Targeted next-generation sequencing of 13 chordoid gliomas of the third ventricle

  Study EGAS00001002733

• Evaluation of the immune effects of tumor-treating electric fields (TTFields) in GBM patients

  Study EGAS00001005392

• The colon KRAS/BRAF variants detection set

  Dataset EGAD00001000835

• Genomics and Modification of Pain: A peripheral component identified using iPSCs with the S241T mutation

  We have capitalized on inherited erythromelalgia (IEM) as a well-characterized genetic model of chronic pain, and studied IEM patients carrying Nav1.7 mutations which affect channel activation and often produce hyperexcitability of DRG neurons. Whole exome sequencing was used to discover multiple gene variants that might contribute to neuronal excitability and that might serve as modifiers of sensory neuron firing, and identified the Kv7.2 channel as a contributor to differences in pain profiles between individuals.

  Study phs001724

• Bulk RNA sequencing of human T and B cells before and after interleukin-2 immunotherapy

  Bulk RNA sequencing of flow cytometry sorted human CD4+ regulatory T (Treg), CD4+ conventional T (Tcon), CD8+ T, and CD19+ B cells from systemic lupus erythematosus patients collected at baseline (day 0, before interleukin-2 immunotherpay), day 5 (after 1 treatment cycle of interleukin-2 immunotherapy), and day 68 (after 4 treatment cycles of interleukin-2 immunotherapy). The dataset comprises files from the above-mentioned 4 immune cell subsets, collected at 3 time points (day 0, day 5, and day 68) of 12 systemic lupus erythematosus patients. Due to technical reasons, day 5 samples of patient SLE_012 could not be processed and are thus missing. The complete dataset totals in 140 raw sequencing files (fastq format).

  Dataset EGAD50000000661

• EGAD00010000630

  The TEENAGE study target population comprised adolescent students aged 13 to 15 years attending the first three classes of public secondary schools located in the wider Athens area of Attica.

  Dataset EGAD00010000630

• Direct transcriptional consequences of somatic mutation in breast cancer

  The disordered transcriptomes of cancer encompass direct effects of somatic mutation on transcription; co-ordinated secondary alterations in transcriptional pathways; and increased transcriptional noise. To catalogue the rules governing how somatic mutation Overall, 59% of 6980 exonic substitutions were expressed. Compared to other classes, nonsense mutations showed lower expression levels than expected with patterns characteristic of nonsense-mediated decay. 14% of 4234 genomic rearrangements caused transcriptional abnormalities, including exon skips, exon reusage, fusion transcripts and premature poly-adenylation. We found productive, stable transcription from sense-to-antisense gene fusions and gene-to-intergenic rearrangements, suggesting that these mutation classes may drive more transcriptional disruption than previously suspected. Systematic integration of transcriptome with genome data therefore reveals the rules by which transcriptional machinery interprets somatic mutation.

  Dataset EGAD00001002236

• RNA-seq of high-grade serous ovarian cancer in long-term survivors (MOCOG study)

  RNA-seq dataset of high-grade serous ovarian cancer (HGSC) tumours from long-term survivors performed as part of the Multidisciplinary Ovarian Cancer Outcomes Group (MOCOG) study. The dataset includes fastq files from 56 HGSC tumours (53 primary tumours and 3 recurrent tumours) from 53 long-term survivor patients. Libraries were generated using the Illumina Stranded mRNA Prep and 150 bp paired-end sequencing was performed to a minimum of 100 million reads on Illumina NovaSeq 6000 instruments.

  Dataset EGAD00001008537

• Whole exome sequencing in patients with ALS and concomitant FTD lacking the C9orf72 repeat expansion

  Dac EGAC00001000656

• Effect of aging on chromatin accessibility and gene expression in immune cells, The Jackson Laboratory

  Dac EGAC00001000721

• Committee of human data related to the manuscript by Germano et al. Ms2016-04-06029

  Dac EGAC00001000750

• Somatic pathogenic variants in the normal mammary gland of sporadic breast cancer patients.

  Dac EGAC00001002391

• The genomic landscape of early-stage ovarian high grade serous carcinoma Data Access Commitee

  Dac EGAC00001002547

• The Chinese University of Hong Kong (CUHK) Circulating Nucleic Acids Research Group (CNARG)

  Dac EGAC00001002708

• The Chinese University of Hong Kong (CUHK) Circulating Nucleic Acids Research Group (CNARG)

  Dac EGAC00001003026

• The European MAPPYACTS trial: Precision Medicine Program in Pediatric and Adolescent Patients with Recurrent Malignancies

  Dac EGAC00001003276

• Genomic validation of the revised Bethesda criteria in terms of pathogenesis and oncologic significance

  Study EGAS00001003959

• DAC Neurology UKW

  DAC of the Department of Neurology, University Hospital Würzburg (UKW), Würzburg, Germany

  Dac EGAC50000000425

• Single-cell dissection of the immune response after a myocardial infarction

  Study EGAS00001007021

• The whole genome landscape of Burkitt lymphoma subtypes

  Study EGAS00001003778

• Genotype data from 'Evidence of the interplay of genetics and culture in Ethiopia'

  Study EGAS00001005171

• Minor intron splicing efficiency increases with the development of lethal prostate cancer

  Study EGAS00001005546

• Comprehensive Whole-Genome Sequence Annotation to Resolve the Genetic Architecture of Cerebral Palsy

  Study EGAS00001006724

• Whole genome sequencing dataset of 200 trio families from the CHILD cohort study.

  Study EGAS00001006725

• The genome-wide mutational consequences of DNA hypomethylation

  Study EGAS00001006845

• The paired FF/FFPE colon set, Exome-Seq

  Dataset EGAD00001000834

• EGAD00000000109

  Gabriel samples from the UK SEVERE cohort

  Dataset EGAD00000000109

• EGAD00000000108

  Gabriel samples from the UK AUGOSA cohort

  Dataset EGAD00000000108

• EGAD00000000107

  Gabriel samples from the multicenter occupational cohort

  Dataset EGAD00000000107

• EGAD00000000106

  Gabriel samples from the multicenter occupational cohort

  Dataset EGAD00000000106

• EGAD00000000105

  Gabriel samples from the multicenter occupational cohort

  Dataset EGAD00000000105

• EGAD00000000104

  Gabriel samples from the Russian UFA cohort

  Dataset EGAD00000000104

• EGAD00000000103

  Gabriel samples from the Russian UFA cohort

  Dataset EGAD00000000103

• EGAD00000000102

  Gabriel samples from the Russian TOMSK cohort

  Dataset EGAD00000000102

• EGAD00000000101

  Gabriel samples from the Russian TOMSK cohort

  Dataset EGAD00000000101

• EGAD00000000094

  Gabriel samples from the UK MRCA cohort

  Dataset EGAD00000000094

• EGAD00000000093

  Gabriel samples from the German MAGIS cohort

  Dataset EGAD00000000093

• EGAD00000000092

  Gabriel samples from the German MAGIS cohort

  Dataset EGAD00000000092

• EGAD00000000091

  Gabriel samples from the Russian KMSU cohort

  Dataset EGAD00000000091

• EGAD00000000090

  Gabriel samples from the Russian KMSU cohort

  Dataset EGAD00000000090

• EGAD00000000089

  Gabriel samples from the Karelia Allergy Study

  Dataset EGAD00000000089

• EGAD00000000088

  Gabriel samples from the Karelia Allergy Study

  Dataset EGAD00000000088

• EGAD00000000087

  Gabriel samples from the multicenter GAIN cohort

  Dataset EGAD00000000087

• EGAD00000000086

  Gabriel samples from the multicenter GAIN cohort

  Dataset EGAD00000000086

• EGAD00000000083

  Gabriel samples from the French EGEA Cohort

  Dataset EGAD00000000083

• EGAD00000000082

  Gabriel samples from the French EGEA Cohort

  Dataset EGAD00000000082

• EGAD00000000075

  Gabriel samples from the Swedish BAMSE Cohort

  Dataset EGAD00000000075