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TranscriptomicsA molecular signature for MET-targeted therapy
Constitutive MET signaling promotes invasiveness in primary and recurrent GBM; however, current MET-targeting strategies lack of effective biomarkers for selecting suitable patients for treatment. Here, we identified a predictive signature potentially valuable for indicating vulnerability to MET-tar...
ORGANISM(S): Mus musculus 
2016-01-05 | E-GEOD-64667 | biostudies-arrayexpress
TranscriptomicsTissue Transcriptome Driven Identification of Epidermal Growth Factor as a Chronic Kidney Disease Biomarker
We identified EGF as the top candidates predicting kidney function through an intrarenal transcriptome-driven approach, and demonstrated it is an independent risk predictor of CKD progression and can significantly improve prediction of renal outcome by established clinical parameters in diverse popu...
ORGANISM(S): Homo sapiens 
2015-12-14 | E-GEOD-69438 | biostudies-arrayexpress
Genomicsena-DATASET-TAU-03-04-2017-19:28:40:078-460 - samples
Targeted resequencing of samples was done with TruSeq custom amplicon low input kit (TSCA-LI, Illumina). The oligo capture probes were designed to include a prefix of 8 random nucleotides at the 5 end of each probe. The assay is designed such that each targeted locus is annealed with two probes, res...
EGAD00001003275 | EGA
UnknownExternal validation of a prediction model for bleeding events in anticoagulated cancer patients with venous thromboembolism (PredictAI).
Not available
S-EPMC12460363 | biostudies-literature
Genomicsena-DATASET-DTU-19-07-2017-19:09:46:884-206 - samples
The MHC vcf call set was generated using a modified AsmVar and BayesTyper pipeline. In contrast to the original pipeline, where variant calling is performed using alignment of collapsed assemblies to a reference genome, the MHC call set was produced using alignment of phased MHC haplotypes. Two iter...
EGAD00001003455 | EGA
Genomicsena-DATASET-DTU-01-02-2017-10:47:25:397-764 - samples
Alignment of Genome Denmark Phase II dataset to GRCh38. The dataset consists of 150 Danish individuals (50 trios) sequenced to 80X. The BAM-file contains data from multiple libraries created from one individual with libraries of 180, 500, 800, 2000, 5000, 10000 and 20000 bp. The libraries were creat...
EGAD00001003157 | EGA
Genomicsena-DATASET-TAU-08-04-2017-14:02:11:924-149 - samples
Description not provided
EGAD00001003280 | EGA
UnknownIdentification and validation of clinical phenotypes with prognostic implications in patients admitted to hospital with COVID-19: a multicentre cohort study.
Not available
S-EPMC7906623 | biostudies-literature
Genomicsena-DATASET-DTU-20-02-2017-20:47:48:841-649 - samples
Variants on the Y chromosome for 62 danish males in VCF format from the GenomeDenmark Phase 2 cohort. Variants were called using reference based approaches such as the haplotype-caller module from GATK and using alignment of denovo assemblies to the reference using ASMvar.
EGAD00001003186 | EGA
Genomicsena-DATASET-DTU-19-07-2017-17:57:54:089-201 - samples
Validation of HLA variation of 8 individuals from the GenomeDenmark Phase 2 study. Validation is performed Sanger sequencing of selected amplicons (5-10 amplicons per sample).
EGAD00001003454 | EGA
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