690 results for ""PhD+2001"+"Professor+of+Bioinformatics"+2012+18000+citations+profile"

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• Transcriptome analysis of soft tissue sarcoma

  We characterized mRNA expression profile of soft tissue sarcomas.

  Study EGAS50000001672

• Widespread DNA hypomethylation and differential gene expression in Turner syndrome

  Adults with 45,X monosomy (Turner syndrome) reflect a surviving minority since more than 99% of fetuses with 45,X monosomy die in utero. In adulthood 45,X monosomy is associated with increased morbidity and mortality, although strikingly heterogeneous with some individuals left untouched while others suffer from cardiovascular disease, autoimmune disease and infertility. The present study investigates the leukocyte DNAmethylation profile by using the 450K-Illumina Infinium assay and the leukocyte RNA-expression profile in 45,X monosomy compared with karyotypically normal female and male controls. We present results illustrating that genome wide X-chromosome RNA-expression profile, autosomal DNA-methylation profile, and the X-chromosome methylation profile clearly distinguish Turner syndrome from controls. Our results reveal genome wide hypomethylation with most differentially methylated positions showing a medium level of methylation. Contrary to previous studies, applying a single loci specific analysis at well-defined DNA loci, our results indicate that the hypomethylation extend to repetitive elements. We describe novel candidate genes that could be involved in comorbidity in TS and explain congenital urinary malformations (PRKX), premature ovarian failure (KDM6A), and aortic aneurysm formation (ZFYVE9 and TIMP1)

  Study EGAS00001002190

• Dense_fine_mapping_study_identifies_new_susceptibility_loci_for_primary_biliary_cirrhosis

  2,981 primary biliary cirrhosis (PBC) cases were collected by the UK PBC Consortium and genotyped on the Illumina Immunochip where 2,861 passed quality control. These cases were then compared to a UK population control to identify novel PBC risk loci and fine-map association signals. (Liu & Almarri et al., Nat Genet, 2012)

  Study EGAS00001001837

• ICGC MMML-seq Data Freeze November 2012 transcriptome sequencing

  ICGC MMML-seq Data Freeze November 2012 transcriptome sequencing

  Dataset EGAD00001000281

• Pseudotime_ordering_of_cell_cycle_state

  We will be using G&T method to sequence single cell genome and transcriptome derived from FS13B iPSCs cell line. The cell cycle state of each of the single cells is known. Hence, we will be analysing the genome and transcriptome of single cells from each of the cell cycle state to generate a copy number profile and transcriptome profile per given cell cycle stage: G1, S, G2, S.

  Study EGAS00001003293

• ICGC MMML-seq Data Freeze November 2012 whole exome sequencing

  ICGC MMML-seq Data Freeze November 2012 whole exome sequencing

  Dataset EGAD00001000279

• ICGC MMML-seq Data Freeze November 2012 whole genome sequencing

  ICGC MMML-seq Data Freeze November 2012 whole genome sequencing

  Dataset EGAD00001000278

• Gut metagenome/FR 2002

  The main goal of the project is the study the associations between the gut metagenome and human health. The dataset contains data for n=7211 FINRISK 2002 participants who underwent fecal sampling. Demultiplexed shallow shotgun metagenomic sequences were quality filtered and adapter trimmed using Atropos (Didion et al., 2017), and human filtered using Bowtie2 (Langmead and Salzberg, 2012).

  Study EGAS00001005038

• SCLC study Peifer et al. - WES dataset

  SCLC - Whole genome sequencing data Publication Peifer et al., 2012, Nature Genetics

  Dataset EGAD00001000703

• Whole-Genome Sequencing of 128 Ashkenazi Jewish individuals

  We sequenced 128 individuals of Ashkenazi Jewish ancestry. All individuals were controls in other studies: (1) Longevity (Gil Atzmon's lab; Albert Einstein College of Medicine), n=74. (2) Parkinson's disease (Lorraine Clark's lab; Columbia University Medical Center), n=54. Whole-genome, high-coverage (50x) sequencing was performed by Complete Genomics in 2012 and 2013.

  Study EGAS00001000664

• SCLC study Peifer et al. - RNAseq dataset

  SCLC - RNA sequencing data Publication Peifer et al., 2012, Nature Genetics

  Dataset EGAD00001001431

• Epigenomic data of Human muscle stem cell

  To profile the epigenomic landscape of Human muscle stem cell, ChIP-seq of histone marks , WGBS and RNA-seq data were generated.

  Study EGAS00001006159

• Cell-free DNA and bone marrow samples from myelodysplastic syndromes

  We have assessed the molecular profile of a cohort of 70 patients with MDS by next-generation sequencing (NGS) using cfDNA and compared the results to paired bone marrow (BM) DNA. Sequencing of BM DNA and cfDNA showed a comparable mutational profile and variant allele frequencies (VAF) strongly correlated between both sample types. Our results support the analysis of cfDNA as a promising strategy for performing molecular characterization, detection of chromosomal aberrations and monitoring of MDS patients.

  Study EGAS00001005992

• Searching for DNA methylation sites associated with panic disorder

  This study aimed to identify whole-genome DNA methylation profile of panic disoeder and to search DNA methylation sites associated with the disease

  Study JGAS000111

• scWGS profile, paediatric acute lymphoblastic leukemia ALL40

  Single cell sequencing using the direct nuclear tagmentation and RNA sequencing (DNTR-seq) method was performed on the diagnostic bone marrow sample (ALL40). This dataset consists of the DNA (scWGS) profile from 384 cells. Two fastq files are associated with each cell identifier.

  Dataset EGAD50000001774

• Elucidation of molecular mechanism of NAFLD-HCC

  We analysed the somatic mutation profile of 69 genes with recurrent genetic alterations reported in HCC using surgically-resected tumor tissues of non-viral HCC patients.

  Study JGAS000523

• Progressive multifocal leukoencephalopathy (PML)

  We generated RNAseq, ATACseq, Multiomics and CITEseq for patients with Progressive multifocal leukoencephalopathy (PML) to profile the chromatin accessibility, transcriptional profiles and surface proteins at single-cell level.

  Study EGAS50000000139

• Epigenomic data of HEMa_LP

  To profile the epigenomic landscape of Human Epidermal Melanocytes , adult, lightly pigmented(HEMa-LP), whole genome bisulphite sequencing (WGBS) and ChIP-seq of histone marks data were generated.

  Study EGAS00001004016

• Gut metagenome/FINRISK 2002 (Salosensaari et al. Nature Comms 2021)

  The main goal of the project is the study the associations between the gut metagenome and human health. The dataset contains data for n=7211 FINRISK 2002 participants who underwent fecal sampling. Demultiplexed shallow shotgun metagenomic sequences were quality filtered and adapter trimmed using Atropos (Didion et al., 2017), and human filtered using Bowtie2 (Langmead and Salzberg, 2012).

  Study EGAS00001005020

• Relating Clinical Outcomes in Multiple Myeloma to Personal Assessment of Genetic Profile

  The Multiple Myeloma Research Foundation (MMRF) CoMMpass (Relating Clinical Outcomes in MM to Personal Assessment of Genetic Profile) trial (NCT01454297) is a longitudinal observation study of 1000 newly diagnosed myeloma patients receiving various standard approved treatments that aim at collecting tissue samples, genetic information, Quality of Life (QoL) and various disease and clinical outcomes over 10 years.

  Study phs000748

• RNA-seq of CD34+ HSPCs from LRMDS patients

  To profile transcriptional alterations of HSPCs in LR-MDS patients, 7AAD−CD45+Lin-CD235a−CD34+ cells were isolated from healthy donors and LR-MDS patients for RNA sequencing.

  Study EGAS00001008182

• AmsterdamUMC Data Access Committee for the study entitled "Carboxylesterase 1 mediates a distinctive metabolic profile of dendritic cells to attain an inflammatory phenotype"

  The current data access committee reviews and assesses data requests of researchers that seek to gain access to data presented in the manuscript entitled "Carboxylesterase 1 mediates a distinctive metabolic profile of dendritic cells to attain an inflammatory phenotype" as performed at the AmsterdamUMC, Amsterdam, Netherlands.

  Dac EGAC50000000178

• Whole exome sequencing of the dMMR colorectal cancer cohort

  We leveraged the ImmunoID NeXT platform, an Immune-enhanced multiomics platform to profile a cohort of patients with dMMR CRC. This sub-study includes the whole exome sequencing data

  Study EGAS50000001744

• TCR and BCR sequencing of the dMMR colorectal cancer cohort

  We leveraged the ImmunoID NeXT platform, an Immune-enhanced multiomics platform to profile a cohort of patients with dMMR CRC. This sub-study includes the TCR and BCR sequencing data

  Study EGAS50000001743

• Whole transcriptome sequencing of the dMMR colorectal cancer cohort

  We leveraged the ImmunoID NeXT platform, an Immune-enhanced multiomics platform to profile a cohort of patients with dMMR CRC. This sub-study includes the whole transriptome sequencing data

  Study EGAS50000001742