Comments (3)
Hi @lothm2014
Thank you for using the package and helping the community!
You definitely use the correct file. However, you shouldn't pass the .format
argument as immunarch
automatically detects the file format. Can you please remove it and see if it works?
immdata <- repLoad("filtered_contig_annotations.csv")
from immunarch.
Thanks for the quick response. That was successful. I did just want to pass along the following warnings when loading the data:
immdata<-repLoad(("filtered_contig_annotations.csv"))
== Step 1/3: loading repertoire files... ==
Processing "<initial>" ...
-- Parsing "filtered_contig_annotations.csv" -- 10x (filt.contigs)
Warning: 151 parsing failures.
row col expected actual file
1041 NA 18 columns 27 columns 'filtered_contig_annotations.csv'
1042 is_cell 1/0/T/F/TRUE/FALSE TTRBV7-2 'filtered_contig_annotations.csv'
1042 high_confidence 1/0/T/F/TRUE/FALSE TRBJ1GACTrTCTGATTG-1 'filtered_contig_annotations.csv'
1042 length a double TrTCTGATTG-1 'filtered_contig_annotations.csv'
1042 full_length 1/0/T/F/TRUE/FALSE TRBV5-6 'filtered_contig_annotations.csv'
.... ............... .................. .................... .................................
See problems(...) for more details.
[!] Removed 277 clonotypes with no nucleotide and amino acid CDR3 sequence.
== Step 2/3: checking metadata files and merging... ==
Processing "<initial>" ...
-- Metadata file not found; creating a dummy metadata...
== Step 3/3: splitting data by barcodes and chain types... ==
Splitting repertoires by their chain type. Columns Chain and Source added to the metadata.
-- Column Chain specifies chain types: TRA, TRB, etc.
-- Column Source specifies the initial sample name for a repertoire after splitting by chain types
Done!
Warning message:
The following named parsers don't match the column names: barcode,is_cell,contig_id,high_confidence,length,chain,v_gene,d_gene,j_gene,c_gene,full_length,productive,cdr3,cdr3_nt,reads,umis,raw_clonotype_id,raw_consensus_id
from immunarch.
Thank you! Yes, we plan to fix the warnings, but not at the moment, I'm sorry. However, we would be glad to help anyone who seeks to fix them! Immunarch is finally on GitHub so we can work with the RepSeq / single-cell community even closer.
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