Package: phiperio 0.6.1

phiperio: PhIP-Seq Data Import and Validation Tools

Provides utilities to import, validate, and manage PhIP-Seq datasets, including standardized conversion pipelines, data checks, and access to cached peptide metadata.

Authors:Mateusz Kolek [aut, cre, cph], Alon Alexander [ctb, cph]

phiperio_0.6.1.tar.gz
phiperio_0.6.1.zip(r-4.7-any)phiperio_0.6.1.zip(r-4.6-any)phiperio_0.6.1.zip(r-4.5-any)
phiperio_0.6.1.tgz(r-4.6-any)phiperio_0.6.1.tgz(r-4.5-any)
phiperio_0.6.1.tar.gz(r-4.7-any)phiperio_0.6.1.tar.gz(r-4.6-any)
phiperio_0.6.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
phiperio/json (API)

# Install 'phiperio' in R:
install.packages('phiperio', repos = c('https://polymerase3.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/polymerase3/phiperio/issues

Pkgdown/docs site:https://polymerase3.github.io

On CRAN:

Conda:

5.20 score 5 stars 1 packages 14 scripts 12 exports 27 dependencies

Last updated from:2a8d8f2fa5 (on main). Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK156
source / vignettesOK211
linux-releaseOK155
macos-releaseOK215
macos-oldrelOK212
windows-develOK122
windows-releaseOK186
windows-oldrelOK141
wasm-releaseOK104

Exports:add_existconvert_legacyconvert_standardcreate_datadetect_peptide_librariesexpand_dataexport_parquetget_countsget_example_pathget_metaget_peptide_libraryload_example_data

Dependencies:blobchkclicpp11DBIdbplyrdigestdplyrduckdbgenericsgluelifecyclemagrittrpillarpkgconfigpurrrR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithryaml

Importing cross-sectional and longitudinal tidy data with phiperio
Overview | Key concepts (read first) | Cross-sectional workflow (simpler) | Longitudinal workflow (subjects with multiple samples) | Tips and gotchas | Using the built-in example
Rendered fromimporting-long-tidy-data.Rmdusingknitr::rmarkdown

Last update: 2026-10-05
Started: 2026-02-04

Importing legacy PhIP-Seq data (convert_legacy)
What this covers | Cross-sectional: one sample per subject | Longitudinal: multiple samples per subject | Key points
Rendered fromimporting-legacy-data.Rmdusingknitr::rmarkdown

Last update: 2026-02-04
Started: 2026-02-04

Importing multiple files with phiperio
Overview | 1. Create a bunch of example files | 2. Inspect one file so you know what’s inside | 3. Import all files in one call | 4. Derive run_id and plate_id from sample_id | Summary
Rendered fromimporting-multiple-files.Rmdusingknitr::rmarkdown

Last update: 2026-02-04
Started: 2026-02-04