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prozor
View on CRAN: Click
here
Download and install prozor package within the R console
Install from CRAN:
install.packages("prozor")
Install from Github:
library("remotes")
install_github("cran/prozor") Install by package version:
library("remotes")
install_version("prozor", "0.3.1") Attach the package and use:
library("prozor")
Maintained by
Witold Wolski
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-09-04
Latest Update: 2021-12-07
Description:
Determine minimal protein set explaining
peptide spectrum matches. Utility functions for creating fasta amino acid databases with decoys and contaminants.
Peptide false discovery rate estimation for target decoy search results on psm, precursor, peptide and protein
level. Computing dynamic swath window sizes based on MS1 or MS2 signal distributions.
How to cite:
Witold Wolski (2015). prozor: Minimal Protein Set Explaining Peptide Spectrum Matches. R package version 0.3.1, https://cran.r-project.org/web/packages/prozor. Accessed 05 Mar. 2026.
Previous versions and publish date:
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Other R packages that prozor depends,
imports, suggests or enhances
Complete documentation for prozor
Functions, R codes and Examples using
the prozor R package
Some associated functions: Cdsw-class . annotateAHO . annotatePeptides . computeFDR . computeFDRwithID . createDecoyDB . create_fgcz_fasta_db . fdrSample . greedy . greedyRes2Matrix . hardconstrain . loadContaminantsFasta2019 . loadContaminantsFasta2021 . makeID . makeIDUnip . masses . objectiveMS1Function . pepprot . plotFDR . predictScoreFDR . prepareMatrix . protpepmetashort . prozor . readPeptideFasta . readjustWindows . removeSignalPeptide . reverseSeq . writeFasta .
Some associated R codes: annotatePeptides.R . cdsw.R . computeFDR.R . createDecoyDB.R . create_fgcz_fasta_db.R . greedy.R . hello.R . loadContaminantsFasta.R . prepareMatrix.R . readFasta.R . readjustWindow.R . removeSignalPeptides.R . reverseSeq.R . writeFasta.R . zzz.R . Full prozor package functions and examples
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