peptides_data_filtered: COVID-19 plasma proteomics
In demar01/PeCorA: Peptide correlation analysis
Description
Usage
Format
Value
Source
Description
Large-Scale Multi-omic Analysis of COVID-19 Severity processed with MaxQuant
from Overmyer et al 2020.
The dataset contains the peptide output file from
MaxQuant.
Usage
1
Format
A dataframe with 10645 rows and 169 variables:
- Sequence
Peptide sequence
- Leading.razor.protein
Name of protein
- LFQ.intensity columns (136)
LFQ normalized mass spectrometry
intensity, A.U.
Value
A data.frame
Source
Overmyer et al 2020.
Large-Scale Multi-omic Analysis of COVID-19 Severity
https://doi.org/10.1016/j.cels.2020.10.003
doi: 10.1016/j.cels.2020.10.003.
demar01/PeCorA documentation built on Feb. 4, 2021, 8:44 p.m.
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Description Usage Format Value Source
Description
Large-Scale Multi-omic Analysis of COVID-19 Severity processed with MaxQuant from Overmyer et al 2020. The dataset contains the peptide output file from MaxQuant.
Usage
1 |
Format
A dataframe with 10645 rows and 169 variables:
- Sequence
Peptide sequence
- Leading.razor.protein
Name of protein
- LFQ.intensity columns (136)
LFQ normalized mass spectrometry intensity, A.U.
Value
A data.frame
Source
Overmyer et al 2020. Large-Scale Multi-omic Analysis of COVID-19 Severity https://doi.org/10.1016/j.cels.2020.10.003 doi: 10.1016/j.cels.2020.10.003.
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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