Covid_peptides: Large-scale proteomic Analysis of COVID-19 Severity
In jessegmeyerlab/PeCorA: Peptide correlation analysis
Covid_peptides R Documentation
Large-scale proteomic Analysis of COVID-19 Severity
Description
Shotgun proteomics of COVID-19 ARDS patients from Overmyera et al 2020.
Usage
Covid_peptides
Format
A dataframe with 1447720 rows and 6 variables:
- Peptide.Modified.Sequence
Peptide sequence with modifications
- Protein
Name of protein
- value
Intensity values
- Condition
Experiment Condition
- BioReplicate
Name of Biological Replicate
Source
https://github.com/jessegmeyerlab/PeCorA/blob/master/inputs/covid_peptides.zip
jessegmeyerlab/PeCorA documentation built on Oct. 12, 2024, 10:44 p.m.
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| Covid_peptides | R Documentation |
Large-scale proteomic Analysis of COVID-19 Severity
Description
Shotgun proteomics of COVID-19 ARDS patients from Overmyera et al 2020.
Usage
Covid_peptides
Format
A dataframe with 1447720 rows and 6 variables:
- Peptide.Modified.Sequence
Peptide sequence with modifications
- Protein
Name of protein
- value
Intensity values
- Condition
Experiment Condition
- BioReplicate
Name of Biological Replicate
Source
https://github.com/jessegmeyerlab/PeCorA/blob/master/inputs/covid_peptides.zip
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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