21147 results for "fc 26 coins Buyfc26coins.com is EA Sports official for FC 26 coins The service is affordable and quick..JIZq"

in 24.34 milliseconds.

• NLG-LBC-05 ctDNA project sequencing data

  Low-pass whole-genome sequencing of pretherapy lymphoma cfDNA and targeted sequencing of cfDNA, tumor tissue and whole-blood samples of NLG-LBC-05 patient samples and cfDNA of nine subjects with no known cancer. Hybrid capture target enrichment; panel target and sequencing information provided in PMID:34932792. FASTQ files provided for targeted sequencing, separate sequencing runs per sample noted with prefix "run" if applicable. Sequences from DTX1 and KLHL6 targets are advised to be excluded from analyses due to PCR/plasmid contaminants of in-house origin.

  Dataset EGAD00001009337

• Metagenomic characterization of tracheal aspirates from non-pulmonary sepsis patients

  Our previous studies in mechanically ventilated Intensive Care Unit (ICU) patients with extrapulmonary sepsis revealed that pulmonary dysbiosis within 8 h from sepsis diagnosis was associated with ICU mortality. These observations offer promising options that could be technologically adapted to rapidly identify those patients at higher risk of death. However, they relied on 16S rRNA sequencing experiments which impedes deep characterization of the bacterial communities that could help to further substantiate the association. To further discern this association, here we assessed the pulmonary bacterial communities in these patients by leveraging metagenomics and evaluated if the presence of antibiotic resistance genes could explain the higher mortality of the patients.

  Study EGAS50000000384

• Exome sequencing to identify predisposition to Wilms tumour

  To identify new Wilms tumor predisposition genes, we performed whole-exome paired-end sequencing of lymphocyte DNA from 12 affected individuals from six unrelated, non-syndromic Wilms tumor families in which known causes had been excluded.We prepared DNA libraries from 1.5 mg blood-derived genomic DNA using the Paired-End DNA Sample Preparation Kit (Ilumina). DNAwas fragmented using Covaris technology and the libraries were prepared without gel size selection. We performed target enrichment using the TruSeq Exome Enrichment Kit (Illumina) by targeting 62 mb of the human genome. The captured DNA libraries were PCR amplified using the supplied paired-end PCR primers.Sequencing was performed with an Illumina HiSeq2000 generating 2?101 bp reads.

  Study EGAS00001000904

• POT1 splice site mutant analysis

  We are interested in the contribution mutations in the Shelterin complex protein POT1 may have to the development of melanoma. We have identified a patient who carries a splice site mutation in POT1 and as part of our analysis of this gene we aim to sequence the transcriptome of this patient to see how this mutation influences splicing. RNA has been obtained from lymphocytes collected from the patient.

  Dataset EGAD00001000786

• McGill Sperm Methylome Capture Sequencing Data

  The study includes methylC-capture sequencing (MCC-Seq) on 94 sperm DNA samples derived from both fertile and infertile individuals who were recruited from the Men’s Health Clinic at the Royal Victoria Hospital, Montreal, Quebec. All the data were generated with 100bp paired-end reads using the Illumina NovaSeq 6000 systems.

  Dataset EGAD00001005795

• Small Genomic Insertions Form Enhancers that Misregulate Oncogenes

  ChIP-Seq data from 102 cell lines were processed to identify insertions relative to the human reference genome. To confirm the ability of a computational pipeline to identify insertions that are actually present in these genomes, we PCR-amplified and deeply sequenced regions where insertions were predicted to exist in MOLT4 T-cell acute lymphoblastic leukemia cells. The current study release makes available sequences of amplicons from a tumor cell genome (MOLT4) where a computational pipeline predicted small insertions from orthogonal data.

  Study phs001242

• BE_screens_of_WRN_gene_in_MSI_models

  We will take advantage of a base-editing screening strategy to engineer mutations in the WRN gene by deep mutagenesis. Two MSI-H cell lines sensitive to WRNi will be genetically modified to express doxycycline-inducible ABE and CBE base editors through a knock-in strategy. Moreover, we will design a pooled library of ~4000 gRNAs targeting the WRN gene plus appropriate controls gRNAs. Library-transduced cells will be selected with WRNi to identify WRN mutations able to interfere with the activity of WRNi.

  Study EGAS00001006872

• AML_targeted_resequencing_study

  Genomic libraries will be generated from whole genome amplified genomic DNA derived from 3,000 myeloid neoplasms. Targeted capture will be performed by multiplexing 16 barcoded samples in each library. Pools of 96 DNA samples will be subjected to 1-2 lanes of HiSeq 75bp sequencing. Reads will be mapped to the current build of the human reference genome to facilitate the generation of a comprehensive catalog of somatic mutations associated with 116 known myeloid and cancer driver genes.

  Study EGAS00001000275

• Data distribution Statistics

  EGA Statistics Bibliography Growth Community Archive Distribution Catalogue Here, we show the amount of data distributed by the EGA. Data Distributed / Live EGA Data Distribution / Live SFTP Aspera HTSGET lineChartLive("svg#ega-dist-live", document.querySelector("#ega-figure-dist-live figcaption")); Data Distributed The below figure represents the cumulative EGA data distribution via the download clients(v2 and v3.x api versions) using HTTPS, FTP, and download boxes using ASPERA. You can see cumulative values by clicking "Cumulative". EGA Data Distribution //lineChart('#ega-data-distribution svg.stats', 'https://stats.ega-archive.org/distribution', // ['Amount of Distributed Data', ['Aspera', 'Download Clients', 'Total']]) curveChart('#ega-data-distribution', [ { domId: 'stats-aspera', label: 'Aspera', url: 'https://stats.ega-archive.org/distribution/aspera' }, { domId: 'stats-sftp' , label: 'SFTP', url: 'https://stats.ega-archive.org/distribution/sftp' }, //{ domId: 'stats-htsget', label: 'HTSGET', url: 'https://stats.ega-archive.org/distribution/htsget' }, { domId: 'stats-streamer' , label: 'Download Client', url: 'https://stats.ega-archive.org/distribution/streamer' }, { domId: 'stats-total' , label: 'Total', url: 'https://stats.ega-archive.org/distribution/total' } ] );

  Documentation about/statistics/distribution

• Genomic characterisation of SDH deficient renal cell carcinoma - WGS

  SDH deficient renal cell carcinomas are a rare and recently defined subtype of kidney cancer, often associated with an inherited mutation in one of the SDH gene subunits. This dataset sought to understand the genomic events that underpin tumour formation, from putative cell of origin, characterisation of the tumour microenvironment, to the genomic evolution of these rare tumours. We performed whole genome and RNA sequencing of 4 patients with SDH deficient renal cell carcinomas, including one patient who had an additional paraganglioma. An addition patient in this cohort had the initial diagnosis revised to a clear cell renal cell carcinoma.

  Dataset EGAD00001008469