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MetabolomicsSPE-IMS-MS: An automated platform for sub-sixty second surveillance of endogenous metabolites and xenobiotics in biofluids
Characterization of endogenous metabolites and xenobiotics is essential to deconvoluting the genetic and environmental causes of disease. However, surveillance of chemical exposure and disease-related changes in large cohorts requires an analytical platform that offers rapid measurement, high sensit...
2017-02-14 | MTBLS427 | MetaboLights
TranscriptomicsIntegrating Large-Scale Functional Genomic Data to Dissect the Complexity of Yeast Regulatory Networks
A major goal of biology is the construction of networks that predict complex system behavior. We combine multiple types of molecular data, including genotypic, expression, transcription factor binding site (TFBS), and protein-protein interaction (PPI) data previously generated from a number of yeas...
ORGANISM(S): Saccharomyces cerevisiae 
2008-06-15 | E-GEOD-11111 | biostudies-arrayexpress
ProteomicsPeakDecoder enables machine learning-based metabolite annotation and accurate profiling in multidimensional mass spectrometry measurements
Global proteomics datasets to study ash utilization by R. toruloides. PeakDecoder is a workflow for metabolite identification and accurate profiling in multidimensional LC-IM-MS-DIA measurements. It is available at https://github.com/EMSL-Computing/PeakDecoder
ORGANISM(S): Rhodosporidium Toruloides Np11 (ncbitaxon:1130832) 
2023-02-03 | MSV000091202 | MassIVE
GenomicsA Study of the Genetic Causes of Complex Pediatric Disorders

The Center for Applied Genomics (CAG) at the Children's Hospital of Philadelphia (CHOP) is a high-throughput, highly automated genotyping and sequencing facility equipped with state-of-the-art genotyping and sequencing platforms. Children who are treated at the Children's Hospital Healthc...

phs000490.v1.p1 | EGA
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