Package: pgca 1.31.0
pgca: PGCA: An Algorithm to Link Protein Groups Created from MS/MS Data
Protein Group Code Algorithm (PGCA) is a computationally inexpensive algorithm to merge protein summaries from multiple experimental quantitative proteomics data. The algorithm connects two or more groups with overlapping accession numbers. In some cases, pairwise groups are mutually exclusive but they may still be connected by another group (or set of groups) with overlapping accession numbers. Thus, groups created by PGCA from multiple experimental runs (i.e., global groups) are called "connected" groups. These identified global protein groups enable the analysis of quantitative data available for protein groups instead of unique protein identifiers.
Authors:
pgca_1.31.0.tar.gz
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pgca.pdf |pgca.html✨
pgca/json (API)
# Install 'pgca' in R: |
install.packages('pgca', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
- BET1947_v339 - Data Files From BiT Heart Cohort
- BET2007_v339 - Data Files From BiT Heart Cohort
- BET2047_v339 - Data Files From BiT Heart Cohort
- BET2067_v339 - Data Files From BiT Heart Cohort
On BioConductor:pgca-1.31.0(bioc 3.21)pgca-1.30.0(bioc 3.20)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
workflowstepassaydomainproteomicsmassspectrometryimmunooncology
Last updated 2 months agofrom:ec5b4ff336. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 06 2024 |
R-4.5-win | OK | Dec 06 2024 |
R-4.5-linux | OK | Dec 06 2024 |
R-4.4-win | OK | Dec 06 2024 |
R-4.4-mac | OK | Dec 06 2024 |
R-4.3-win | OK | Dec 06 2024 |
R-4.3-mac | OK | Dec 06 2024 |
Exports:applyDictpgcaDictsaveDict
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Apply a PGCA dictionary to data files | applyDict |
Data Files From BiT Heart Cohort | BET1947_v339 BET2007_v339 BET2047_v339 BET2067_v339 |
Link Protein Groups Created from MS/MS Data | pgcaDict |
Write a PGCA dictionary to a text file | saveDict |