Sign in
BioinformaticsbioRxiv
Preprint

SiCR: Web application for single-cell repertoire analysis and immune profiling

Masakazu IshikawaiD, Kaoru MatsumotoiD, Daisuke OkuzakiiD

Abstract

BackgroundSingle-cell RNA sequencing (scRNA-seq) allows analysis of complete sequences of antigen receptors in individual cells. However, it is a complex technique that requires multiple analyses to obtain accurate results. Although several user-friendly tools for scRNA-seq are available, none are specifically designed for immune profiling. ResultsWe developed a web application called SiCR that is based on the Shiny framework of the R package and specializes in single-cell immune profiling. SiCR allows clustering and cell typing required for both general single-cell and immune profiling analyses, such as predicting whether the chronotype is expanding in each group and the antigen the expanding chronotype targets. These analyses can be performed using a cursor control. SiCR also allows for detailed figure settings, enabling immediate publication of results. ConclusionsSiCR is a comprehensive workbench that can be used by biologists for single-cell immune profiling. Currently, it is the only web application that allows single-cell repertoire analysis using both raw and preprocessed data. Moreover, SiCR significantly reduces the time and effort required to analyze and interpret information in single-cell immune profiling. Therefore, SiCR is a potential reference application for interactive analysis and investigation of biological data, especially for immune profiling.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISSturm '20Moussa '21Zhang '20Yang '25Liu '21Wang '25
68% semantic matchBioinformatics
Gregor Sturm, Tamás Géza Szabó, Georgios Fotakis+4 more·Bioinformatics·Jun 24, 2020· 221 citations