that looks like just the thing, thanks!
Hi folks,
I'm interested in using oxford nanopore's taiyaki tool in order to train a new basecaller for modified bases at a known position. In order to train a new model basecaller I need to modify the fastq (or sam and convert back) for each fast5 file in order to signify this modified base. However I have around 10k reads, combined with minion's inherent error rate it's not really something I can edit in a regex way as far as I know.
Does anyone know of a method or script that can use a sam file aligned to a consensus where I can modify the base at a specific location which would get around the previous issues?
1 answer
or script that can use a sam file aligned to a consensus where I can modify the base at a specific location
please flag the question as answered if it fulfills your needs (green tick on the left)
I was wondering if I could get a bit more help... When I run the command
java -jar /bioinformatics_tools/jvarkit/dist/biostar404363.jar -o modified.bam -p basecalled.vcf original.bam
The output is only partially converting all of my T's to N's for the first 30 or so entries, and the remainder (~6k) are not changing, even with no AF ratio in the VCF (below) which I'd assumed would convert all T's to N's?
##fileformat=VCFv4.2
##FILTER=<ID=PASS,Description="All filters passed">
##samtoolsVersion=1.9+htslib-1.9
##samtoolsCommand=samtools mpileup -v -f reads.fasta basecalled/basedcalled_sorted.bam
##reference=file://reads.fasta
##contig=<ID=X,length=6000>
##INFO=<ID=AF,Number=A,Type=Float,Description="Allele Frequency among genotypes, for each ALT allele, in the same order as listed">
#CHROM POS ID REF ALT QUAL FILTER INFO
X 4605 . T N . . .
Using the samtools -tview command in the link only a small proportion are being converted to N's, and these are the reads at the end of the terminal output, all of those at the beginning are unchanged. Is there anything I can do to alter this?
Also I realise this may be a bit much to ask but would it be possible to allow for the use of non cannonical bases, say Y in this workflow as this would be a very useful tool in order to create a training set for nanopore basecalling for novel modifications.
hard to answer without seeing the BAM and the VCF. Please use https://github.com/lindenb/jvarkit/issues , narrow the bam around the position please.
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