Scifer: An R/Bioconductor package for large-scale integration of Sanger sequencing and flow cytometry data of index-sorted single cells
Here you will find all the data, code, and analysis used for the scifer manuscript. scifer is an R/Bioconductor package that can preprocess raw data from index sorts and raw BCR Sanger sequencing data. It can identify high-quality sequences based on different parameters, such as length, Phred scores, and heavy-chain complementarity-determining region 3 (HCDR3) quality. As a result, it significantly increases the quality of germline assignments and reduces spurious variable gene mutations. Its output provides quality control reports, FASTA files, summarized tables, and electropherograms for manual inspection.
Authors
- Rodrigo Arcoverde Cerveira (ORCID: https://orcid.org/0000-0002-1145-2534)
- Sebastian Ols (ORCID: https://orcid.org/0000-0001-9784-7176)
- Fredrika Hellgren
- Karin Loré (ORCID: https://orcid.org/0000-0001-7679-9494)
- Klara Lenart (ORCID: https://orcid.org/0000-0002-4984-2618)
- Marcel Martin (ORCID: https://orcid.org/0000-0002-0680-200X)
Institutions
- Karolinska University Hospital (SE)
- Karolinska Institutet (SE)
- Center for Translational Molecular Medicine (NL)
- National Bioinformatics Infrastructure Sweden
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-10-28
- DOI
- https://doi.org/10.5281/zenodo.8399141
- Primary Topic
- CAR-T cell therapy research
- Type
- article
- Field-Weighted Citation Impact
- 0.00