iseqr_make_tcr: iseqr_make_tcr
In ahopki14/tcrSeqR: Tools for analyzing data from Adaptive's ImmunoSeq platform
Description
Usage
Arguments
Value
Author(s)
Description
Make a tcr object from an imported adaptive dataset and a dictionary
containing sample metadata.
Usage
1
iseqr_make_tcr(ds, dict, remove = T)
Arguments
ds
A dataset containing Adaptive TCR data, made with 'iseqr_merge'
dict
A dictionary containing the sample metadata. This must contain a
field called 'fn' with sample names matching the original tsv files (or, more
accurately the colnames(ds)).
remove
Logical, indicating if non-productive clones and clones with
stop codons should be removed
Value
A 'tcr' object
Author(s)
Alexander Hopkins
ahopki14/tcrSeqR documentation built on May 16, 2019, 6:56 p.m.
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Description Usage Arguments Value Author(s)
Description
Make a tcr object from an imported adaptive dataset and a dictionary containing sample metadata.
Usage
1 | iseqr_make_tcr(ds, dict, remove = T)
|
Arguments
ds |
A dataset containing Adaptive TCR data, made with 'iseqr_merge' |
dict |
A dictionary containing the sample metadata. This must contain a field called 'fn' with sample names matching the original tsv files (or, more accurately the colnames(ds)). |
remove |
Logical, indicating if non-productive clones and clones with stop codons should be removed |
Value
A 'tcr' object
Author(s)
Alexander Hopkins
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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