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TCR-alpha/beta pairing

run_pairing() experimental
Find TCRalpha/beta pairs from individual well read counts

Data loading

load_tirtlseq() experimental
Load data from TIRTLseq experiments

Data wrangling

add_metadata() experimental
Add metadata to a TIRTLseqDataSet object
filter_dataset() experimental
Subset a TIRTLseqDataSet object
reorder_samples() experimental
Re-order samples in a TIRTLseqDataSet object

Data processing and cleaning

TIRTL_process() experimental
Run data processing functions on a TIRTLseqDataSet object
add_single_chain_data() experimental
Add single-chain read counts/fractions to the paired TCR data
clean_pairs() experimental
Remove excess pairs for individual single chains
filter_duplicate_tcrs() experimental
Remove duplicate TCRs from a data frame
filter_mait() experimental
Remove MAIT (Mucosal-Associated Invariant T cells) TCRs
filter_nonfunctional_TCRs() experimental
Remove TCRs with nonfunctional CDR3 amino acid sequences
filter_short_cdr3s() experimental
Remove TCRs with short CDR3 loops
filter_v_alleles() experimental
Remove TCRs with unknown V-segments
identify_non_functional_seqs() experimental
Identify TCRs that contain non-functional CDR3 sequences
identify_paired() experimental
Identify which single chains were paired
prep_for_tcrdist() experimental
Prepare paired TCRs for TCRdist calculation
remove_duplicates() experimental
Removes duplicate paired TCRs

Quality control and data summary

get_all_tcrs() experimental
Returns all of the paired TCRs from all samples in a dataset
get_pair_stats() experimental
Count the number of pairs called by each algorithm
get_paired_by_read_fraction_range() experimental
Calculate the number and fraction of single chains that were paired by frequency
plot_n_reads() experimental
Bar plot of the number of single-chain reads for each sample
plot_num_partners() experimental
Stacked bar plot of the fraction of alpha/beta chains with different numbers of partners
plot_paired() experimental
Stacked bar plot of the number of TCRs paired by each algorithm
plot_paired_by_read_fraction_range() experimental
Bar plot of the fraction of paired single chains by frequency
plot_paired_vs_rank() experimental
A step plot of the cumulative number of paired/unpaired alpha/beta chains among the most frequent chains
plot_pairs_with_eachother() experimental
A connected point plot of read fraction vs. rank for the most frequent alpha/beta chains
plot_ranks() rank_plot() experimental
Line plot of clonotype rank vs. read fraction for each sample
plot_read_fraction_vs_pair_status() experimental
A point plot of read fraction vs. rank for the most frequent alpha/beta chains
plot_sample_overlap() sample_overlap() experimental
Plot the overlap/agreement between samples (in terms of most frequent clones)
summarize_data() experimental
Create a summary table with number of reads and unique alpha/beta chains

TCR similarity and clustering

TCRdist() experimental
GPU implementation of TCRdist, a distance/similarity metric for pairs of TCRs
TCRdist_cpp() experimental
Parallelized C++ implementation of TCRdist (no GPU required)
cluster_tcrs() experimental
Cluster TCRs (using the Leiden algorithm) based on their pairwise TCRdist values
plot_clusters() experimental
Plot clusters of similar TCRs

Longitudinal analysis

plot_clone_size_across_samples() experimental
Line plot of clone read fraction across multiple samples
plot_sample_vs_sample() experimental
Scatterplot of TCR clone read fraction of clones between two samples

Diversity

calculate_diversity() diversity() experimental
Calculate TCR repertoire diversity metrics
get_all_div_metrics() experimental
Returns all diversity metric options for calculate_diversity()
plot_clonotype_indices() experimental
Stacked bar chart with fractions of reads attributed to the most frequent clonotypes
plot_diversity() experimental
Bar plot of clonal diversity metrics

Export for external tools

create_thimble_df() experimental
Convert paired TCRs to a "thimble" data frame for Stitchr
write_stitchr_tsv() experimental
Write a tab-separated "thimble" text file for use with Stitchr

Well-level data functions

choose_pair_manual() experimental
Choose a partner manually for an input chain using T-SHELL
get_well_subset() experimental
Get well names from numerical rows and columns
get_wells_from_edges() experimental
Get well names from the top left and bottom right wells
load_well_counts_binary() experimental
Load well-level data written to binary format
plot_tshell() experimental
Calculate and plot read fraction correlation across wells (T-SHELL)
write_well_data_to_binary() experimental
Convert individual well .tsv files to faster loading binary format

Data

params
Table of permissible amino acids and V-segments for TCRdist
submat
Substitution penalty matrix for TCRdist amino acids and V-segments

Other