MTBLS79_DatasetExperiment: MTBLS79: Direct infusion mass spectrometry metabolomics...
In computational-metabolomics/structtoolbox: Data processing & analysis tools for Metabolomics and other omics
View source: R/MTBLS79_dataset_class.R
MTBLS79_DatasetExperiment R Documentation
MTBLS79: Direct infusion mass spectrometry metabolomics dataset: a benchmark for data processing and quality control
Description
Direct-infusion mass spectrometry (DIMS) metabolomics is an important approach
for characterising molecular responses of organisms to disease, drugs and the
environment. Increasingly large-scale metabolomics studies are being conducted,
necessitating improvements in both bioanalytical and computational workflows
to maintain data quality. This dataset represents a systematic evaluation of
the reproducibility of a multi-batch DIMS metabolomics study of cardiac tissue
extracts. It comprises of twenty biological samples (cow vs. sheep) that were
analysed repeatedly, in 8 batches across 7 days, together with a concurrent set
of quality control (QC) samples. Data are presented from each step of the workflow
and are available in MetaboLights (https://www.ebi.ac.uk/metabolights/MTBLS79)
Usage
MTBLS79_DatasetExperiment(filtered = FALSE)
Arguments
filtered
TRUE to load data with quality control filters already applied,
or FALSE to load the unfiltered data. Default is FALSE. The raw data is available
from (https://www.ebi.ac.uk/metabolights/MTBLS79) and as an R dataset in the
pmp package, available on Bioconductor.
Value
DatasetExperiment object
Examples
D = MTBLS79_DatasetExperiment()
summary(D)
computational-metabolomics/structtoolbox documentation built on Feb. 9, 2024, 8:19 a.m.
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View source: R/MTBLS79_dataset_class.R
| MTBLS79_DatasetExperiment | R Documentation |
MTBLS79: Direct infusion mass spectrometry metabolomics dataset: a benchmark for data processing and quality control
Description
Direct-infusion mass spectrometry (DIMS) metabolomics is an important approach for characterising molecular responses of organisms to disease, drugs and the environment. Increasingly large-scale metabolomics studies are being conducted, necessitating improvements in both bioanalytical and computational workflows to maintain data quality. This dataset represents a systematic evaluation of the reproducibility of a multi-batch DIMS metabolomics study of cardiac tissue extracts. It comprises of twenty biological samples (cow vs. sheep) that were analysed repeatedly, in 8 batches across 7 days, together with a concurrent set of quality control (QC) samples. Data are presented from each step of the workflow and are available in MetaboLights (https://www.ebi.ac.uk/metabolights/MTBLS79)
Usage
MTBLS79_DatasetExperiment(filtered = FALSE)
Arguments
filtered |
TRUE to load data with quality control filters already applied,
or FALSE to load the unfiltered data. Default is FALSE. The raw data is available
from (https://www.ebi.ac.uk/metabolights/MTBLS79) and as an R dataset in the
|
Value
DatasetExperiment object
Examples
D = MTBLS79_DatasetExperiment()
summary(D)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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