pepitope facilitates TCR-neoantigen screen analysis in the R language
Clicks: 8
ID: 321902
2026
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
2.1
/100
8 views
0 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #141 of 818 articles by views in BMC Bioinformatics
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 818 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
MOTIVATION: Functional screening of patient-derived T cell receptor (TCR)-neoantigen pairs via co-culture experiments is a way to design personalised immunotherapy or to investigate its mechanism of action. Current computational toolkits can either generate and prioritise candidate epitopes from tumour variants or count barcodes in sequencing data. However, they lack modules to support experimental screening, such as sample demultiplexing, construct quality control, and downstream analysis. To bridge these gaps, we present pepitope, an R package that integrates minigene library generation, sequencing-based quality control (QC), and differential abundance analysis of co-culture screens into a single software package within the accessible R/Bioconductor ecosystem. RESULTS: pepitope workflows include the extraction of mutant and reference peptides with customisable flanking regions from tumour variant calls using Bioconductor annotation resources; demultiplexing and barcode counting for construct QC; and negative-binomial-based differential testing built on DESeq2 to identify immunogenic epitopes in TCR co-culture assays. By remaining within R, pepitope lowers the barrier for lab-based biologists familiar with R and Bioconductor to perform end-to-end co-culture screen analyses without needing dedicated computational support. AVAILABILITY: pepitope (R ≥ 4.5.0) is freely available on GitHub under the GPL-3.0 license, with detailed vignettes hosted at https://mschubert.github.io/pepitope/. Installation is facilitated via the remotes package in R. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
| Reference Key |
openalex_W7170044385
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Moritz Broft, Wouter Scheper, Michaël Schubert |
| Journal | BMC Bioinformatics |
| Year | 2026 |
| DOI |
10.1093/bioinformatics/btag542
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.