Sort   by:  
 Page size 
MetabolomicsAddressing batch effects in large-scale metabolomics with augmented experimental design and meta-analysis
Not available
ORGANISM(S): Caenorhabditis elegans 
ST002092 | MetabolomicsWorkbench
MetabolomicsAddressing batch effects in large-scale metabolomics with augmented experimental design and meta-analysis (Part 1)
Not available
ORGANISM(S): Caenorhabditis elegans 
ST002095 | MetabolomicsWorkbench
MetabolomicsAddressing batch effects in large-scale metabolomics with augmented experimental design and meta-analysis (Part 2)
Not available
ORGANISM(S): Caenorhabditis elegans 
ST002096 | MetabolomicsWorkbench
MetabolomicsExperiment design beyond gut feeling: statistical tests and power to detect differential metabolites in mass spectrometry data
We use metabolite profiles of the model plant Arabidopsis thaliana measured on an UPLC-ESI/QqTOF-MS as a pilot study to estimate variance levels which then can be used to obtain several statistical parameters (e.g. minimum detectable effect, number of required replicates and error probabilities) whi...
2014-11-06 | MTBLS74 | MetaboLights
TranscriptomicsExperimental analysis of oligonucleotide microarray design criteria to detect deletions by CGH
BACKGROUND: Microarray comparative genomic hybridization (CGH) is currently one of the most powerful techniques to measure DNA copy number in large genomes. In humans, microarray CGH is widely used to assess copy number variants in healthy individuals and copy number aberrations associated with var...
ORGANISM(S): Homo sapiens 
2008-07-26 | E-GEOD-12208 | biostudies-arrayexpress
MetabolomicsHabitual Coffee Intake Shapes the Gut Microbiome and Modifies Host Physiology and Cognition: double-blind, randomised, parallel design

Coffee influences multiple physiological processes, including gut function, stress, cognition, and the microbiome. However, the mechanisms underlying these effects remain poorly understood. In this study, we examined coffee’s impact on the microbiota–gut–brain axis—a bidirectional communication p...

2026-03-26 | MTBLS13401 | MetaboLights
TranscriptomicsExperimental validation of HiSpOD probe design with complex background mRNA or 3 known antiense RNA and expression analysis on a contaminated groundwater sample
HiSpOD is a new efficient functional microarrays probe design algorithm especially dedicated for the microbial ecology and environmental studies. It was used to design 3392 probes targeting 21 genes involved in chlorinated solvent biodegradation pathways and synthesized on a nimblegen microarray. In...
ORGANISM(S): uncultured organism 
2011-04-13 | E-GEOD-21492 | biostudies-arrayexpress
TranscriptomicsAn experimental loop design improves the detection of congenital chromosomal aberrations by array CGH
Comparative genomic hybridization microarrays (array CGH or molecular karyotyping) for the detection of congenital chromosomal aberrations is the application of microarray technology that is coming fastest into routine clinical application. When using a two-channel microarray of genomic DNA probes f...
ORGANISM(S): Homo sapiens 
2010-05-25 | E-GEOD-6538 | biostudies-arrayexpress
ModelsSmallbone2013 - Yeast metabolic model with linlog rate law
Kieran Smallbone & Pedro Mendes. Large-Scale Metabolic Models: From Reconstruction to Differential Equations. Industrial Biotechnology 9, 4 (2013). Genome-scale kinetic models of metabolism are important for rational design of the metabolic engineering required for industrial biotechnology applicat...
2024-09-02 | BIOMD0000000471 | BioModels
ModelsSmallbone2013 - Yeast metabolic model with modular rate law
Kieran Smallbone & Pedro Mendes. Large-Scale Metabolic Models: From Reconstruction to Differential Equations. Industrial Biotechnology 9, 4 (2013). Genome-scale kinetic models of metabolism are important for rational design of the metabolic engineering required for industrial biotechnology applicat...
2024-09-02 | BIOMD0000000472 | BioModels
Sort   by:  
 Page size