VariantAnnotation -filterVcf/FilterRules - 3 fxns as list to FilterRules throughs and erro
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Entering edit mode
@stephen-sefick-3922
Last seen 8.1 years ago

Hello:

I am having a problem with filterVcf. I am passing 3 filters defined
as fxns to FilterRules, and I am having the Error below. All of these
filters work individually, but when passed together in a list they do
not work. I have included the relevant code below. If it is helpful, I
can provide full script and test data. Please let me know.

Error:

starting filter
filtering 10 records
Error in value[[3L]](cond) : 
  Filter 'b' failed: dim(X) must have a positive length
Calls: filterVcf ... tryCatch -> tryCatchList -> tryCatchOne -> <Anonymous>
Execution halted

Relevant Code:

#filters

#snps
#"QD < 2.0"; "MQ < 40.0"; "FS > 60.0"; "SOR > 3.0"; "MQRankSum < -12.5"; "ReadPosRankSum < -8.0"; "DP < 5"; "DP > 120"
#indels
#"FS > 200.0"; "ReadPosRankSum < -20.0"; "SOR > 10.0"; "DP < 5"; "DP > 120"  
######################################################################################################################

#RGQ
RGQ_filter <- function(x, RGQvalue=RGQ_value, minDP=min_DP, maxDP=max_DP) {
    ## Filter on RGQ > value; default is 30
    #out <- apply(geno(x)$RGQ>=value, 1, function(x)sum(x, na.rm=TRUE))==4
    out <- apply(geno(x)$RGQ >= RGQvalue & geno(x)$DP > minDP & geno(x)$DP < maxDP, 1, function(x)sum(x, na.rm=TRUE))==4
    snps_indels <- isIndel(x) | isSNV(x)
    out. <- ifelse(snps_indels==TRUE, snps_indels, out)
    out.[is.na(out.)] <- TRUE
    return(out.)
}

#ADDED 20161111
#GATK HARD FILTERS
#snps
#"QD < 2.0"; "MQ < 40.0"; "FS > 60.0"; "SOR > 3.0"; "MQRankSum < -12.5"; "ReadPosRankSum < -8.0"; "DP < 5"; "DP > 120"
snps <- function(x, minDP.=min_DP, maxDP.=max_DP, GQ.=GQ){
    out. <- apply(info(x)$QD > 2 & info(x)$MQ > 40 & info(x)$FS < 60 & info(x)$SOR < 3 & info(x)$MQRankSum > -12.5 & info(x)$ReadPosRankSum > -8 & geno(x)$DP >= minDP. & geno(x)$DP <= maxDP. & geno(x)$GQ >= GQ., 1, function(x)sum(x, na.rm=TRUE))==4
    out.. <- ifelse(!isSNV(x)==TRUE, TRUE, out.)
    out..[is.na(out..)] <- TRUE
    return(out..)
}

#"FS > 200.0"; "ReadPosRankSum < -20.0"; "SOR > 10.0"; "DP < 5"; "DP > 120"  
indels <- function(x, minDP..=min_DP, maxDP..=max_DP, GQ..=GQ){
    out <- apply(info(x)$FS < 200 & info(x)$SOR < 3 & info(x)$ReadPosRankSum > -8 & geno(x)$DP>=minDP.. & geno(x)$DP<=maxDP.. & geno(x)$GQ>=GQ.., 1, function(x)sum(x, na.rm=TRUE))==4
    out. <- ifelse(!isIndel(x)==TRUE, TRUE, out)
    out.[is.na(out.)] <- TRUE
    return(out.)
}

##############################################################
##############################################################
##############################################################

filters <- FilterRules(list(a=RGQ_filter, b=indels))
filtervcf variantannotation • 1.1k views
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0
Entering edit mode
@martin-morgan-1513
Last seen 5 months ago
United States

The error occurs when apply() is fed a zero-length logical vector, e.g., because all the variants have been previously filtered

> apply(logical(0), 1, sum)
Error in apply(logical(0), 1, sum) : dim(X) must have a positive length

Also, as mentioned in an earlier comment, use rowSums() rather than apply for much enhanced performance.

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