vis_circos

Visualise matrices with the chordDiagram function
from the circlize package.

A comprehensive framework for bioinformatics exploratory analysis of bulk and single-cell
T-cell receptor and antibody repertoires. It provides seamless data loading, analysis and
visualisation for AIRR (Adaptive Immune Receptor Repertoire) data, both bulk immunosequencing (RepSeq)
and single-cell sequencing (scRNAseq). Immunarch implements most of the widely used AIRR analysis methods,
such as: clonality analysis, estimation of repertoire similarities in distribution of clonotypes
and gene segments, repertoire diversity analysis, annotation of clonotypes using external immune receptor
databases and clonotype tracking in vaccination and cancer studies. A successor to our
previously published 'tcR' immunoinformatics package (Nazarov 2015) <doi:10.1186/s12859-015-0613-1>.

Vadim I. Nazarov

immunarch

Bioinformatics Analysis of T-Cell and B-Cell Immune Repertoires

Vasily O. Tsvetkov

Siarhei Fiadziushchanka

Eugene Rumynskiy

Aleksandr A. Popov

Ivan Balashov

Maria Samokhina

Anna Lorenc

Daniel J. Moore

Victor Greiff

ImmunoMind 

vis_circos function

<dl><dt>.data</dt>
<dd>Input matrix.</dd>
<dt>.title</dt>
<dd>The The text for the title of the plot.</dd>
<dt>...</dt>
<dd>Other arguments passed to chordDiagram from the 'circlize' package.</dd></dl>

Arguments

Visualisation of matrices using circos plots — vis_circos

<dl>

<dt>.data</dt>
<dd>Input matrix.</dd>


<dt>.title</dt>
<dd>The The text for the title of the plot.</dd>


<dt>...</dt>
<dd>Other arguments passed to chordDiagram from the 'circlize' package.</dd>

</dl>

Visualisation of matrices using circos plots

vis_circos: Visualisation of matrices using circos plots

Description

Usage

Value

Arguments

See Also

Examples