contigs | R Documentation |
Data are a small subset of the TCR-seq data from the paper, "Progressive immune dysfunction with advancing disease stage in renal cell carcinoma" (Braun et al. 2021). The full dataset can be obtained from dbGap phs002252.v1.p1.
data(contigs)
A SplitDataFrameList with six elements. Each list element
contains the TCR-seq data for a single cell in a DFrame
.
Each DFrame
has 19 variables and as many rows as there
are contigs for the cell.
The variables in the dataset are the same as those in the contig_annotations.csv file created by 10X. The meaning of each variable label is specified at https://support.10xgenomics.com/single-cell-vdj/software/pipelines/latest/output/annotation, but they are also summarized below:
Cell barcode for the contig in the list element.
True or False value indicating whether the barcode was called as a cell.
Unique identifier for this contig.
True or False value indicating whether the contig was called as high-confidence (unlikely to be a chimeric sequence or some other artifact).
The contig sequence length in nucleotides.
The chain associated with this contig; for example, TRA, TRB, IGK, IGL, or IGH. A value of "Multi" indicates that segments from multiple chains were present.
The highest-scoring V segment, for example, TRAV1-1.
The highest-scoring D segment, for example, TRBD1.
The highest-scoring J segment, for example, TRAJ1-1.
The highest-scoring C segment, for example, TRAC.
If the contig was declared as full-length.
If the contig was declared as productive.
The predicted CDR3 amino acid sequence.
The predicted CDR3 nucleotide sequence.
The number of reads aligned to this contig.
The number of distinct UMIs aligned to this contig.
The ID of the clonotype to which this cell barcode was assigned.
The ID of the consensus sequence to which this contig was assigned.
Sample identifier. The data for contigs come from two different samples.
Braun, David A., et al. "Progressive immune dysfunction with advancing disease stage in renal cell carcinoma." Cancer cell 39, no. 5 (2021): 632-648.
data('contigs')
x <- clonoStats(contigs)
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