groupGenes {alakazam} | R Documentation |
Group sequences by gene assignment
Description
groupGenes
will group rows by shared V and J gene assignments,
and optionally also by junction lengths. IGH:IGK/IGL, TRB:TRA, and TRD:TRG
paired single-cell BCR/TCR sequencing and unpaired bulk sequencing
(IGH, TRB, TRD chain only) are supported. In the case of ambiguous (multiple)
gene assignments, the grouping may be specified to be a union across all
ambiguous V and J gene pairs, analogous to single-linkage clustering
(i.e., allowing for chaining).
Usage
groupGenes(
data,
v_call = "v_call",
j_call = "j_call",
junc_len = NULL,
cell_id = NULL,
locus = "locus",
only_heavy = TRUE,
first = FALSE
)
Arguments
data |
data.frame containing sequence data. |
v_call |
name of the column containing the heavy/long chain V-segment allele calls. |
j_call |
name of the column containing the heavy/long chain J-segment allele calls. |
junc_len |
name of column containing the junction length.
If |
cell_id |
name of the column containing cell identifiers or barcodes.
If specified, grouping will be performed in single-cell mode
with the behavior governed by the |
locus |
name of the column containing locus information.
Only applicable to single-cell data.
Ignored if |
only_heavy |
use only the IGH (BCR) or TRB/TRD (TCR) sequences
for grouping. Only applicable to single-cell data.
Ignored if |
first |
if |
Details
To invoke single-cell mode the cell_id
argument must be specified and the locus
column must be correct. Otherwise, groupGenes
will be run with bulk sequencing assumptions,
using all input sequences regardless of the values in the locus
column.
Values in the locus
column must be one of c("IGH", "IGI", "IGK", "IGL")
for BCR
or c("TRA", "TRB", "TRD", "TRG")
for TCR sequences. Otherwise, the function returns an
error message and stops.
Under single-cell mode with paired chained sequences, there is a choice of whether
grouping should be done by (a) using IGH (BCR) or TRB/TRD (TCR) sequences only or
(b) using IGH plus IGK/IGL (BCR) or TRB/TRD plus TRA/TRG (TCR).
This is governed by the only_heavy
argument.
Specifying junc_len
will force groupGenes
to perform a 1-stage partitioning of the
sequences/cells based on V gene, J gene, and junction length simultaneously.
If junc_len=NULL
(no column specified), then groupGenes
performs only the first
stage of a 2-stage partitioning in which sequences/cells are partitioned in the first stage
based on V gene and J gene, and then in the second stage further splits the groups based on
junction length (the second stage must be performed independently, as this only returns the
first stage results).
In the input data
, the v_call
, j_call
, cell_id
, and locus
columns, if present, must be of type character
(as opposed to factor
).
It is assumed that ambiguous gene assignments are separated by commas.
All rows containing NA
values in any of the v_call
, j_call
, and junc_len
(if junc_len != NULL
) columns will be removed. A warning will be issued when a row
containing an NA
is removed.
Value
Returns a modified data.frame with disjoint union indices
in a new vj_group
column.
If junc_len
is supplied, the grouping this vj_group
will have been based on V, J, and junction length simultaneously. However,
the output column name will remain vj_group
.
The output v_call
, j_call
, cell_id
, and locus
columns will be converted to type character
if they were of type
factor
in the input data
.
Expectations for single-cell data
Single-cell paired chain data assumptions:
every row represents a sequence (chain).
heavy/long and light/short chains of the same cell are linked by
cell_id
.the value in
locus
column indicates whether the chain is the heavy/long or light/short chain.each cell possibly contains multiple heavy/long and/or light/short chains.
every chain has its own V(D)J annotation, in which ambiguous V(D)J annotations, if any, are separated by a comma.
Single-cell example:
A cell has 1 heavy chain and 2 light chains.
There should be 3 rows corresponding to this cell.
One of the light chains may have an ambiguous V annotation which looks like
"Homsap IGKV1-39*01 F,Homsap IGKV1D-39*01 F"
.
Examples
# Group by genes
db <- groupGenes(ExampleDb)
head(db$vj_group)