23083 results for "ega"

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• A96226B

  Whole genome sequencing for single cells for library A96226B 1274 cells; filetype=bam

  Dataset EGAD00001007621

• A98304A

  Whole genome sequencing for single cells for library A98304A 1560 cells; filetype=bam

  Dataset EGAD00001007636

• COVID-19 scRNA-seq, TCR-seq and BCR-seq

  COVID-19 scRNA-seq, TCR-seq and BCR-seq for 291 samples collected from 109 patients. Among 291 samples, 249 of them have two libraries (sequencing runs) for each assay, while 42 have only one library.

  Dataset EGAD00001007995

• Phenotypic characterisation of LRRN4CL over-expression

  This study aims to use RNAseq to identify differentially expressed transcripts in human melanoma cells that over-express the cell surface protein, LRRN4CL, relative to empty-vector control cells, to provide mechanistic insight into how LRRN4CL over-expression confers enhanced pulmonary metastatic colonisation abilities.

  Dataset EGAD00001006249

• Longitudinal tracking of CRC patients

  Heatrich-BS was performed on 14 patients monitored across 5-8 timepoints each. The predicted tumor fraction trend was compared with CEA values and tumor measurements from CT scans.

  Dataset EGAD00001008714

• RNA-Seq samples from the BELOB clinical trial study to find transcriptome associations with response to Bevacizumab and CCNU in glioblastoma patients

  RNA-Seq samples from the BELOB clinical trial study to find transcriptome associations with response to Bevacizumab and CCNU in glioblastoma patients

  Dataset EGAD00001006329

• BLUEPRINT September 2016, ATAC-seq for tonsil, on Genome GRCh38

  ATAC-seq data for 7 sample(s) from tonsil, on Genome GRCh38. 7 run(s), 7 experiment(s), 7 alignment(s). Part of BLUEPRINT (September 2016).

  Dataset EGAD00001002708

• A96181C

  Whole genome sequencing for single cells for library A96181C 1216 cells; filetype=bam

  Dataset EGAD00001007117

• A96240A

  Whole genome sequencing for single cells for library A96240A 1493 cells; filetype=bam

  Dataset EGAD00001007121

• Primary tumor/metastatic/germline DNA trios equences files

  Exome sequences of primary tumor/metastatic/germline DNA trios. Tumoral and germline samples were sequenced to an expected depth of respectively 150M and 50M reads in order to obtain differential depth (>100X versus >30X). Submitted data are paired-end fastq files.

  Dataset EGAD00001006324

• 17 skin and oral epithelial bulk samples from 2 donors

  Aligned BAM files with removed duplicate reads of targeted sequencing data (exomes of a panel of 153 genes) from 12 skin and 5 oral epithelial bulk samples from 2 donors. Sequences generated by the BGI DNB-SEQ platform.

  Dataset EGAD00001008956

• DKFZ-St.Jude Medulloblastoma - 70 PAN-GATC control exomes

  Exome controls for 70 individuals, PAN-GATC cohort, sequenced on Illumina machines from the paper "Germline Elongator mutations in Sonic Hedgehog medulloblastoma" (Waszak et al. 2020 Nature).

  Dataset EGAD00001006661

• Gene expression in human monocyte differentiation

  This dataset consists of RNA-seq data data from human monocytes, monocyte-derived dendritic cells or monocyte-derived macrophages as well as monocyte-derived cells that were subjected to siRNA treatment targeting TET2, IRF4 and EGR2. In total, it includes 43 samples.

  Dataset EGAD00001006604

• A95731B

  Whole genome sequencing for single cells for library A95731B 1307 cells; filetype=bam

  Dataset EGAD00001007110

• DKFZ-St.Jude Medulloblastoma - 218 CEF control exomes

  218 control exomes, CEF cohort, sequenced on Illumina machines from the paper "Germline Elongator mutations in Sonic Hedgehog medulloblastoma" (Waszak et al. 2020 Nature).

  Dataset EGAD00001006659

• Blood plasma and paired genomic DNA from neuroblastoma patients

  The dataset is comprised of 3 blood plasma samples (Patient 1-3_plasma_cfDNA) paired with genomic DNA (Patient 1-3_tumor gDNA) from the corresponding primary neuroblastoma from three patients. For all these samples whole-exome sequencing (WES) data have been generated.

  Dataset EGAD00001006012

• A95663B

  Whole genome sequencing for single cells for library A95663B 1364 cells; filetype=bam

  Dataset EGAD00001007108

• Non-small cell lung cancer targeted sequencing

  Targeted sequencing of non-small cell lung cancer samples. BAM files of paired end reads aligned to hg19 using BWA MEM v0.7.1573. This targeted panel covers 370 genes of clinical relevance in non-small cell lung cancer.

  Dataset EGAD00001007918

• Leiomyosarcoma RNA-Seq

  RNA was extracted from fresh frozen LMS material for 29 untreated tumors (24 primary tumors, 5 metastatic12 relapses) and 13 tumors treated with radiation(7 primaries, 6 metastatic relapses). RNA-Seq sequencing was performed using established protocols on Illumina HiSeq 2500

  Dataset EGAD00001006628

• Pre and Post BCG treated bulk RNAseq dataset.

  We have in total 16 files, technical duplicates of 8 unique samples from Pre and Post BCG samples collected from four non muscle invasive bladder cancer patients. These are bulk RNAseq samples generated by high-throughput sequencing platform.

  Dataset EGAD00001006634

• Transcriptome analysis of Treg cells from blood, fat, liver and skin

  Tcells were isolated fom Tissues and FACS sorted. In total 43 samples were processed in 5 replicates with the Takara SmartSeq Stranded kit. Single end fastq-files are supplied.

  Dataset EGAD00001007664

• Human placenta microRNA sequencing dataset

  Human placenta samples from 52: 5 first trimester , 7 second trimester, and 40 term placenta. Data is uploaded as BAM files.

  Dataset EGAD00001007766

• A110632A

  Whole genome sequencing for single cells for library A110632A 1151 cells; filetype=bam

  Dataset EGAD00001007094

• SMRT-seq

  In this study, we enhanced 5mC detection using SMRT sequencing by holistically analyzing kinetic signals of a DNA polymerase and sequence context for every base within a measurement window. We employed a convolutional neural network to train a methylation classification model.

  Dataset EGAD00001006875

• Exome Sequencing of 44 subjects with very severe or fatal COVID-19

  In this study, the DNA of 44 subjects with severe COVID-19 have been sequenced in order to explore rare genetic variants.

  Dataset EGAD00001008993