| deletionsByVpooled | R Documentation | 
The deletionsByVpooled function inferes single chromosomal deletion for D and J gene .
deletionsByVpooled(
  clip_db,
  chain = c("IGH", "IGK", "IGL"),
  deletion_col = c("d_call", "j_call"),
  count_thresh = 50,
  deleted_genes = "",
  min_minor_fraction = 0.3,
  kThreshDel = 3,
  nonReliable_Vgenes = c()
)
clip_db | 
 a   | 
chain | 
 the IG chain: IGH,IGK,IGL. Default is IGH.  | 
deletion_col | 
 a vector of column names for which single chromosome deletions should be inferred. Default is j_call and d_call.  | 
count_thresh | 
 integer, the minimun number of sequences mapped to a specific V gene to be included in the V pooled inference.  | 
deleted_genes | 
 double chromosome deletion summary table. A   | 
min_minor_fraction | 
 the minimum minor allele fraction to be used as an anchor gene. Default is 0.3  | 
kThreshDel | 
 the minimum lK (log10 of the Bayes factor) to call a deletion. Default is 3.  | 
nonReliable_Vgenes | 
 a list of known non reliable gene assignments. A   | 
The function accepts a data.frame in AIRR format (https://changeo.readthedocs.io/en/stable/standard.html) containing the following columns:
'subject': The subject name
'v_call': V allele call(s) (in an IMGT format)
'd_call': D allele call(s) (in an IMGT format, only for heavy chains)
'j_call': J allele call(s) (in an IMGT format)
A data.frame, in which each row is the single chomosome deletion inference of a gene.
The output containes the following columns:
subject:       the subject name.
gene:          the gene call
deletion:      chromosome deletions inferred. Encoded 1 for deletion and 0 for no deletion.
k:             the Bayesian factor value for the deletion inference.
counts:        the appereance count of the gene on each chromosome, the counts are seperated by a comma.
data(samples_db) # Infering V pooled deletions del_db <- deletionsByVpooled(samples_db) head(del_db)
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