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Scifer: Single-Cell Immunoglobulin Filtering of Sanger Sequences

Bioconductor version: Release (3.19)

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.

Author: Rodrigo Arcoverde Cerveira [aut, cre, cph] , Sebastian Ols [aut, dtc] , Karin Loré [dtc, ths]

Maintainer: Rodrigo Arcoverde Cerveira <rodrigo.arcoverdi at>

Citation (from within R, enter citation("scifer")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

Using scifer to filter single-cell sorted B cell receptor (BCR) sanger sequences HTML R Script
Reference Manual PDF


biocViews FlowCytometry, Preprocessing, QualityControl, SangerSeq, Sequencing, SingleCell, Software
Version 1.6.0
In Bioconductor since BioC 3.16 (R-4.2) (1.5 years)
License MIT + file LICENSE
Imports dplyr, rmarkdown, data.table, Biostrings, parallel, stats, plyr, knitr, ggplot2, gridExtra, DECIPHER, stringr, sangerseqR, kableExtra, tibble, scales, rlang, flowCore, methods
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