17842 results for "the best way to get coins in fc 26 Navštivte Buyfc26coins.com Společnost známá transparentními transakcemi..CQ2q"

in 51.14 milliseconds.

• 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

• EGAD00000000074

  Gabriel samples from the Swedish BAMSE Cohort

  Dataset EGAD00000000074

• EGAD00000000076

  Gabriel samples from the Australian Bussleton Cohort

  Dataset EGAD00000000076

• EGAD00000000077

  Gabriel samples from the Australian Bussleton Cohort

  Dataset EGAD00000000077

• The EMC-NICHE DAC considers appeals for hematopoietic/niche-related data sets.

  Dac EGAC00001000537

• Data access committee for the pseudomyxoma peritonei exome sequencing vcf-files

  Dac EGAC00001000649

• Data access committee handling data access requests for biomarker data from the clinical trial IMvigor210.

  Dac EGAC00001000945

• The University of Hong Kong Colon Cancer Organoids Genomics Study Data Access Committee

  Dac EGAC00001001405

• The data access committee for Detection and characterization of lung cancer using cell-free DNA fragmentomes

  Dac EGAC00001002184

• Data Access Committee of the Department of Molecular Neurology, UKEr

  Dac EGAC00001002455

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

  Dac EGAC00001002648

• Tracking the evolution of esophageal squamous cell carcinoma under dynamic immune selection by multi-omics sequencing

  Dac EGAC00001002881

• Data Access Committee for the MAXOMOD Consortium - E-Rare / European Joint Programme on Rare Diseases

  Dac EGAC00001003287

• DAC - Dept. of Pathology LUMC

  DAC of the Department of Pathology of Leiden University Medical Center

  Dac EGAC50000000376

• The data access committee for "Validation of cfDNA fragmentome analyses for early detection of liver cancer"

  Dac EGAC00001003543

• Single cell sequencing: Capturing the origin and dynamics of chromosomal copy-number heterogeneity

  Study EGAS00001003812

• Human gastrointestinal epithelia of the esophagus, stomach and duodenum resolved at single-cell resolution

  Study EGAS00001004695

• The DNA methylome of cervical cells and risk of ovarian cancer

  Study EGAS00001005045

• MPIMG DAC

  DAC of the Max Planck Institute for Molecular Genetics

  Dac EGAC50000000149

• Y chromosome alignment

  Variations on the Y chromosome from 44 samples

  Dataset EGAD00010001573

• The storage time FFPE set

  Dataset EGAD00001000829

• EGAD00000000085

  Gabriel samples from the German Gabriel Advanced Survey

  Dataset EGAD00000000085

• EGAD00000000084

  Gabriel samples from the German Gabriel Advanced Survey

  Dataset EGAD00000000084

• EGAD00000000073

  Gabriel samples from the 1958 British Birth Cohort

  Dataset EGAD00000000073

• Epigenetic ageing during the COVID-19 pandemic: global age acceleration, independent of SARS-CoV-2 infection

  Study EGAS00001008409

• The whole genome landscape of Burkitt lymphoma subtypes

  Study EGAS00001003778

• BC Cancer, part of the Provincial Health Services Authority, Technology Development Office, Data Access Committee (PHSA TDO DAC)

  Dac EGAC00001003254

• Aboriginal Genetics and Health Studies based at the Telethon Kids Institute, Perth, Western Australia

  Dac EGAC00001000261

• This DAC takes care of requests for data for the Swiss epigenetic colorectal cancer cohort study, SWEPIC

  Dac EGAC00001003471

• A population specific reference genome defined from the analysis of 153 United Arab Emirates nationals.

  Study EGAS00001004537

• Uppsala University Data Access Committee

  This DAC constitutes the Uppsala University access point EGA.

  Dac EGAC50000000433

• Institute of Pathology at the University Hospital of Lausanne CHUV

  Prof Laurence de Leval

  Dac EGAC50000000314

• Preliminary Results from the Initiative for Molecular Profiling and Advanced Cancer Therapy 2 (IMPACT 2) Study

  Study EGAS00001004964

• Transcriptome Analysis Offers a Comprehensive Illustration of the Genetic Background of Pediatric Acute Myeloid Leukemia

  Study EGAS00001003701

• High coverage sequencing of a single sample can account for the problem of intratumor heterogeneity

  Study EGAS00001004200

• Multiregion Whole-Exome Sequencing Uncovers the Genetic Evolution and Mutational Heterogeneity of Early-Stage Metastatic Melanoma.

  Study EGAS00001004320

• A capture-based next-generation sequencing panel for the molecular characterization of chronic lymphocytic leukemia

  Study EGAS00001006975

• The FF bladder signature conservation set

  Dataset EGAD00001000833

• The paired FF/FFPE bladder set

  Dataset EGAD00001000832

• The paired FF/FFPE prostate set

  Dataset EGAD00001000830

• EGAD00000000019

  840 families where both parents have been genotyped together with the child with severe malaria

  Dataset EGAD00000000019

• EGAD00000000020

  685 families where both parents have been genotyped together with the child with severe malaria

  Dataset EGAD00000000020

• RNA sequecing of primary B cells infected with Epstein-Barr virus (EBV) or stimulated with heat-inactivated EBV

  Naïve (CD27-IgD+) B cells were isolated from buffy coat preparations of healthy donors using CD19 magnetic beads, followed by reals of CD19 beads and incubation with IgD-biotin and anti-biotin magnetic beads. B cells were infected with EBV by spinoculation or stimulated with heat-inactivated EBV and control cells were left uninfected. RNA was extracted immediately after isolation in un-infected B cells. From EBV-infected B cells and B cells stimulated with heat-inactivated virus, RNA was extracted 24 and 96 hours after infection / stimulation.

  Dataset EGAD50000000305

• Blueprint: A human variation panel of genetic influences on epigenomes and transcriptomes in three immune cell types, (RNA-Seq for CD4-positive, alpha-beta T cell, on genome GRCh37)

  RNA-Seq data for 212 CD4-positive, alpha-beta T cell sample(s). 212 run(s), 212 experiment(s), 212 analysis(s) on human genome GRCh37. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/blueprint_Epivar/protocols/README_rnaseq_analysis_sanger_20160816

  Dataset EGAD00001002671

• Blueprint: A human variation panel of genetic influences on epigenomes and transcriptomes in three immune cell types, (ChIP-Seq for CD14-positive, CD16-negative classical monocyte, on genome GRCh37)

  ChIP-Seq data for 172 CD14-positive, CD16-negative classical monocyte sample(s). 572 run(s), 345 experiment(s), 340 analysis(s) on human genome GRCh37. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/blueprint_Epivar/protocols/README_chipseq_analysis_ebi_20160816

  Dataset EGAD00001002672

• Blueprint: A human variation panel of genetic influences on epigenomes and transcriptomes in three immune cell types, (ChIP-Seq for CD4-positive, alpha-beta T cell, on genome GRCh37)

  ChIP-Seq data for 154 CD4-positive, alpha-beta T cell sample(s). 355 run(s), 265 experiment(s), 250 analysis(s) on human genome GRCh37. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/blueprint_Epivar/protocols/README_chipseq_analysis_ebi_20160816

  Dataset EGAD00001002673

• Blueprint: A human variation panel of genetic influences on epigenomes and transcriptomes in three immune cell types, (RNA-Seq for CD14-positive, CD16-negative classical monocyte, on genome GRCh37)

  RNA-Seq data for 197 CD14-positive, CD16-negative classical monocyte sample(s). 197 run(s), 197 experiment(s), 197 analysis(s) on human genome GRCh37. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/blueprint_Epivar/protocols/README_rnaseq_analysis_sanger_20160816

  Dataset EGAD00001002674

• Orthotopic murine Group 3 medulloblastoma in C57Bl/6 mice treated with saline, cyclophosphamide or gemcitabine

  Mice with medulloblastoma (Group 3) were treated with saline, cyclophosphamide, or gemcitabine as described by Abbas et al (2020). Total RNA was isolated with RNeasy Plus Mini Kit (Qiagen), library preparation (SureSelect, Agilent), rRNA depletion (Ribo-Zero Plus, Illumina) and sequencing were carried out by GenomicsWA or Australian Genome Research Facility. Libraries were sequenced on NovaSeq 6000 S1 flow cells as paired-end 150bp reads (Illumina).

  Dataset EGAD00001008511

• IL1R1+ cancer-associated fibroblasts drive tumor development and immunosuppression in colorectal cancer

  180502: RNA-Sequencing data of cocultured matched CRC patient (P4) derived normal fibroblasts (NFs), cancer associated fibroblasts (CAFs) and tumor spheroids. 200503_coculture: RNA-Sequencing data of cocultured CRC patient derived normal fibroblasts (NFs) or cancer associated fibroblasts (CAFs) (P16, P19, P22, P32, P41, P42) and tumor spheroids (HT29). 200503_il1b: RNA-Sequencing data of IL-1β stimulated fibroblasts (NFs and CAFs) Cole: scRNA-sequencing of matched CRC tumour samples and normal tissue counterparts derived from 3 patients. 220501: RNA-Sequencing of FACS sorted IL1R1 high and IL1R1 low CT5.3 CAFs

  Dataset EGAD00001010322

• DAC for present-day Central Asia genotype data at the Centre for GeoGenetics, Natural History Museum of Denmark.

  Dac EGAC00001000894

• Single Genome Jakun Sequencing Dataset

  This dataset contains the sequencing data of a single Jakun Individual from Malaysia

  Dac EGAC50000000454

• South African Blood Regulatory (SABR) Resource Committee

  Data access committee for the South African Blood Regulatory (SABR) Resource.

  Dac EGAC50000000501

• Breast Cancer Association Consortium Data Access Coordinating Committee

  Data access committee for the Breast Cancer Association Consortium (BCAC).

  Dac EGAC50000000824

• Cancer Research UK Cambridge Institute

  A department of the University of Cambridge and Cancer Research UK funded Institute

  Dac EGAC50000000683

• Synthetic modeling reveals HOXB genes are critical for the initiation and maintenance of human leukemia

  Study EGAS00001003627

• The INFORM Precision Medicine Study for High-Risk Pediatric Malignancies

  Study EGAS00001005112

• NGS WGS Data - COMPASS

  Whole Genome Sequencing data from the COMPASS cohort and trial

  Dataset EGAD50000001584

• CPCG-BRCA-ARRAY

  Raw Array data from the CPCGene BRCA study

  Dataset EGAD00010001196

• ARGO-Larissa GWAS

  The ARGO-Larissa GWAS.

  Dataset EGAD00010000883

• MPNST

  These are only the whole exome sequences

  Dataset EGAD00001001031

• Genome and transcriptome sequence data from a metastatic carcinoma of the lung patient

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

  Dataset EGAD00001002983

• Genome and transcriptome sequence data from a adenocarcinoma of the lung patient

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

  Dataset EGAD00001002985

• Genome and transcriptome sequence data from a carcinosarcoma of the uterus patient

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

  Dataset EGAD00001002995

• Whole exome sequencing of non-small cell lung cancer patient-derived xenografts

  Non-small cell lung cancer (NSCLC) is the leading cause of cancer deaths worldwide. Only a fraction of NSCLC harbour actionable driver mutations and there is an urgent need for patient-derived model systems that will enable the development of new targeted therapies. We generated NSCLC patient-derived xenografts (PDXs) that recapitulate the histology and molecular features of primary NSCLC. Here, we completed whole exome sequencing on 122 NSCLC PDXs.

  Dataset EGAD00001008601

• Single cell transcriptomes of childhood renal tumours

  This data set contains single cell transcriptomes generated using the chromium 10X platform from both fresh cells and nuclei. The samples measured are derived from children with Wilms tumour, Clear Cell Sarcoma of the Kidney (CCSK), or Malignant Rhabdoid Tumours.

  Dataset EGAD00001007572

• Methylome profiling of Solitary fibrous tumor/Hemangiopericytoma (SFT/HPC) and a patient derived cell-line model

  Solitary fibrous tumor/Hemangiopericytoma (SFT/HPC) is a rare subtype of soft tissue sarcoma associated with NAB2-STAT6 gene fusions. This study established and characterized a novel SFT/HPC patient-derived cell line called SFT-S1 using the twist human methylome panel.

  Study EGAS50000000026

• Hybrid untargeted and targeted RNA sequencing facilitates genotype-phenotype associations at single-cell resolution

  Raw sequencing data for the manuscript "Hybrid untargeted and targeted RNA sequencing facilitates genotype-phenotype associations at single-cell resolution". It includes PacBio long-read scRNA-seq, illumina short-read scRNA-seq and Twist-based targeted scRNA-seq datasets for two adrenal samples.

  Study EGAS50000001537

• snRNA-seq on patient tumours

  snRNA-seq performed on patient tumours (n = 6 patients, one biopsy sample each sequenced) using the 10x technology. Single nuclei were acquired from six frozen mCRPC biopsies (4 lymph node, 2 liver metastases) obtained from consenting patients treated at the Royal Marsden Hospital between 2018 and 2023 under an institutional review board approved research protocol (Research Ethics Committee approval number: 04/Q0801/60). All six patients had previously received androgen-receptor signalling inhibitor(s) and five of six patients had previously received taxane(s).

  Dataset EGAD50000000874

• Evaluating potential drug candidates for the treament of Henamgiopericytoma on patient derived cell line models

  Solitary fibrous tumor/Hemangiopericytoma (SFT/HPC) is a rare subtype of soft tissue sarcoma associated with NAB2-STAT6 gene fusions. This study established and characterized a novel SFT/HPC patient-derived cell line called SFT-S1. Potential drug candidates that could be repurposed for the treatment of SFT/HPC were screened. Screening was performed through RNA-Seq

  Dataset EGAD50000000039

• Breast Cancer Histology Images

  Fresh frozen breast cancer H&E tissue images collected and annotated by the International Cancer Genome Consortium (ICGC), that included the BASIS collaboration. Associated with whole genome sequence data as originally described by Nik-Zainal et al, Nature, 2016 (DOI: 10.1038/nature17676) and deposited with ID EGAS00001001178

  Dataset EGAD00010001911

• Exomes of High-risk Prostate cancer

  DNA extracted from tumoral tissue of 39 patients was used for exome sequencing. As a comparison, DNA extracted from blood was used as a non-tumoral control. DNA was captured using the EZ SeqCap v3 exome kit from Roche and sequenced using an Illumina HiSeq instrument.

  Study EGAS00001001015

• December 2016 data update (bam/fastq) for reference epigenomes generated at Centre for Epigenome Mapping Technologies, Genome Sciences Center, B.C. Cancer Agency as part of the International Human Epigenome Consortium.

  December 2016 data update (bam/fastq for WGBS on samples CEMT0062, CEMT0068, CEMT0072, CEMT0086, CEMT0087) for reference epigenomes generated at Centre for Epigenome Mapping Technologies (Canadian Epigenetics, Environment and Health Research Consortium), Genome Sciences Center, B.C. Cancer Agency, Vancouver, Canada as part of the International Human Epigenome Consortium.

  Dataset EGAD00001003122

• January 2018 data update (bam/fastq) for reference epigenomes generated at Centre for Epigenome Mapping Technologies, Genome Sciences Center, B.C. Cancer Agency as part of the International Human Epigenome Consortium.

  January 2018 data update (bam/fastq) for reference epigenomes generated at Centre for Epigenome Mapping Technologies (Canadian Epigenetics, Environment and Health Research Consortium), Genome Sciences Center, B.C. Cancer Agency, Vancouver, Canada as part of the International Human Epigenome Consortium.

  Dataset EGAD00001003962

• Whole genome sequencing data of normal/tumors pairs from 9 patients with uterine or ovarian carcinosarcoma.

  This dataset provides whole genome sequencing data of normal/tumors pairs from 9 patients with uterine or ovarian carcinosarcoma using the HiSeq 2000 sequencing system. It includes 27 samples (9 normals, 16 uterine tumors and 2 ovarian tumors). Through separate whole genome sequencing of carcinomatous and sarcomatoid components, we analyse and compare the genomic alterations of these components.

  Dataset EGAD00001003755

• Congenital mesoblastic nephroma and infantile fibrosarcoma

  The genetic basis of many rare childhood cancers remains unknown. These include a spectrum of infant soft tissue tumors without canonical gene fusions, encompassing congenital mesoblastic nephroma (CMN) of the kidney and infantile fibrosarcoma (IFS). Here, we integrated whole genome and transcriptome sequencing and identified diagnostic markers and novel therapeutic strategies.

  Dataset EGAD00001003885

• Primary breast tumor heterogeneity through therapy

  We performed whole-exome sequencing on multiple regions (n=2-3) from four primary untreated breast tumors (n=1 HER2+, n=2 ER+/HER2-, n=1 triple-negative), as well as matched normal. We also performed whole-exome sequencing on one region from the pre-treatment diagnostic core biopsy and multiple regions (n=2-6) from the post-treatment surgical specimen for five HER2+ primary breast tumors, as well as matched normal; all were treated with combination chemotherapy and trastuzumab. Analysis of these specimens allows characterization of breast tumor heterogeneity and clonal evolution.

  Dataset EGAD00001004306

• Aligned whole genome bisulfite sequencing data for reference epigenomes generated at Centre for Epigenome Mapping Technologies, Genome Sciences Center, B.C. Cancer Agency as part of the International Human Epigenome Consortium.

  Aligned whole genome bisulfite sequencing data for reference epigenomes generated at Centre for Epigenome Mapping Technologies, Genome Sciences Center, B.C. Cancer Agency, Vancouver, Canada as part of the International Human Epigenome Consortium.

  Dataset EGAD00001001435