Extracting the reads counts (coverage) a specific variant allele from a Fastq file
0
0
Entering edit mode
4.5 years ago
a.james ▴ 240

Hi All, Say, I have a paired-end fastq reads from 2 lanes, and vcf file with variant allele. These I have generated using the varsim tool. My VCF file does not have the DP4 field to find the read coverage. I wanna find the read covered for each variant allele in the VCF file using the fastq reads. I do not wanna use any secondary analysis tools (alignment, variant calling, whatsoever).

In this case, can anyone suggest to me how to go forward?

Thank you!

RNA-Seq snp sequencing • 1.2k views
ADD COMMENT
2
Entering edit mode

You need the intermediate files (BAM files), otherwise, it is not feasible or will be ambiguous/untrusted results.

ADD REPLY
0
Entering edit mode

The BAM file can be generated using alignment, but I wanna avoid the inherent bias of the alignment tools. The generated vcf contains ground truth or simulated ground truth variant allele. For which, I wanna generate the read coverage.

ADD REPLY
0
Entering edit mode

Checking varsim, looks like the coverage is a parameter of your simulation, it's not clear to me how they are generating the reads, but I guess after populating the reference genome with the "variants", they are fragmenting the genome and creating the Fastq files. Unless you can see in the simulation logs how was these reads generated, I don't see another way to get the real coverage unless you align your reads to the genome.

ADD REPLY
0
Entering edit mode

Thanks for the tip, I can check the log files. In general, varsim generate the reads from the perturbated genome (by inserting variants into a user-provided reference genome) aka ground truth sequence. After that, reads are then simulated from this perturbed genome.

ADD REPLY

Login before adding your answer.

Traffic: 2423 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6