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MetabolomicsCustomized Consensus Spectral Library Building for Untargeted Quantitative Metabolomics Analysis with Data Independent Acquisition Mass Spectrometry and MetaboDIA Workflow
Data independent acquisition-mass spectrometry (DIA-MS) coupled with liquid chromatography is a promising approach for rapid, automatic sampling of MS/MS data in untargeted metabolomics. However, wide isolation windows in DIA-MS generate MS/MS spectra containing a mixed population of fragment ions t...
2018-03-26 | MTBLS417 | MetaboLights
GenomicsGenome wide association study of leprosy in Chinese population

Leprosy is a chronic infectious disease caused by Mycobacterium leprae (M. leprae). Due to M. leprae's narrow host range and an inability to be cultured in vitro, the biological investigation of this disease has been difficult. Host genetic factors have been ...

phs000217.v1.p1 | EGA
UnknownmiR-181b functions as an oncomiR in colorectal cancer by targeting PDCD4.
Not available
S-EPMC5055492 | biostudies-literature
UnknownGenome-Wide Association Analysis of Protein-Coding Variants in IgA Nephropathy.
Not available
S-EPMC10631603 | biostudies-literature
UnknownIdentification of new susceptibility loci for IgA nephropathy in Han Chinese.
Not available
S-EPMC4458882 | biostudies-literature
UnknownUse of HLA-B*58:01 genotyping to prevent allopurinol induced severe cutaneous adverse reactions in Taiwan: national prospective cohort study.
Not available
S-EPMC4579807 | biostudies-literature
UnknownA deep learning system for detecting silent brain infarction and predicting stroke risk.
Not available
S-EPMC12623247 | biostudies-literature
UnknownIntegrated image-based deep learning and language models for primary diabetes care.
Not available
S-EPMC11485246 | biostudies-literature
Genomicsena-DATASET-GoT2D/T2D-GENES-09-07-2016-02:03:47:226-1135 - samples
The GoT2D study includes ~2800 samples, half T2D cases and half T2D controls, of Northern European ancestry sequenced over 3 three technologies: deep whole exome sequencing, low-pass (4x) whole genome sequencing, and OMNI 2.5M genotyping. Samples were ascertained to be phenotypically "extreme" (e.g....
EGAD00001002247 | EGA
GenomicsImputation analysis file
This data set includes the following summary level data file used for the imputation data: imputation.sv.assoc.txt: results from single variant association analysis in imputed samples
EGAD00010001184 | EGA
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