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scifer

Bioc current

Scifer: Single-Cell Immunoglobulin Filtering of Sanger Sequences

v1.14.0 · Package record · software · MIT + file LICENSE

Release Lineage

Entered 3.16 · Nov 2, 2022

Current · Requires R 4.6

1.0 In 8 of 49 releases 3.23

Description

Have you ever index sorted cells in a 96 or 384-well plate and then sequenced using Sanger sequencing? If so, you probably had some struggles to either check the electropherogram of each cell sequenced manually, or when you tried to identify which cell was sorted where after sequencing the plate. Scifer was developed to solve this issue by performing basic quality control of Sanger sequences and merging flow cytometry data from probed single-cell sorted B cells with sequencing data. scifer can export summary tables, 'fasta' files, electropherograms for visual inspection, and generate reports.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

10 7 exported

Complexity

6.6 avg / 21 max

Call network

10 nodes / 4 edges

Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.

Loading call graph…

Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

1,818

Files

56

Compiled share

0%

Has compiled src

No

Language breakdown

R 837 (46%)Tests 302 (16.6%)Docs 421 (23.2%)Vignettes 258 (14.2%)

API

Exported functions

7

Internal functions

3

Recent export changes

v3.20+1 igblast  −1 secondary_peaks

Testing

Has tests

Yes

Test-to-code ratio

0.36

testthat edition

3

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

–

System requirements

–

C++ standard

–

License

MIT + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

8

First release

2022-11-01

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

100%

Dep drift

7

LOC over versions

v3.16: 1,448 LOCv3.17: 1,448 LOCv3.18: 1,448 LOCv3.19: 1,448 LOCv3.20: 1,845 LOCv3.21: 1,884 LOCv3.22: 1,803 LOCv3.23: 1,818 LOC

Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.

Documentation

In the Bioconductor 3.23 release
READMEYes · 2,087 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structuredCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
9includes a package overview page
Examples that run
88%7 run in a plain check · 1 never run
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Repository practices

Upstream repositoryBeta

Checks run against github.com/rodrigarc/scifer on 2026-10-21.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v4 (2026-10-20)

Datasets

Bundled datasets · 2
NameClassSizeAlso in
extdata_description–––
test_igblastdata.frame13 × 1No other package

All of scifer's data objects

Topics

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' entry:

citation("scifer")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1016/j.immuno.2024.100046.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for scifer version 1.14.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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