Very helpful video, thank you!! I am not really familiar with bioinformatics and in this part of my project, I am trying two compare two VCF files corresponding to the results of healthy tissue and tumor tissue. I want to compare these VCF files and remove their similarities. More specific I want to remove the information of the healthy tissue from the tumor one. Have you any suggestions on which tool I should use or any way that I can do my analysis? thank you in advance!
Hi! Do you have access to the BAM files for each sample? The analysis you describe typically involved passing the two BAMs (tumor & healthy) into a variant caller like Mutect2. I will place the link to the tool below: gatk.broadinstitute.org/hc/en-us/articles/360037593851-Mutect2
this video is really helpful, thank you
can you please make a video how to convert a VCF SNP information into a binary data for population strcuture or phylogentic analysis?
Yes, and how we can use vcf files to see what genes in the reference genome the variants correspond to.
Thank you! Great video!
Very helpful video, thank you!! I am not really familiar with bioinformatics and in this part of my project, I am trying two compare two VCF files corresponding to the results of healthy tissue and tumor tissue. I want to compare these VCF files and remove their similarities. More specific I want to remove the information of the healthy tissue from the tumor one. Have you any suggestions on which tool I should use or any way that I can do my analysis? thank you in advance!
Hi! Do you have access to the BAM files for each sample? The analysis you describe typically involved passing the two BAMs (tumor & healthy) into a variant caller like Mutect2. I will place the link to the tool below:
gatk.broadinstitute.org/hc/en-us/articles/360037593851-Mutect2
thank you for sharing this..... i have a question regarding this topic....how to put command in VCF and BCF tools.. can you make a demo for this?
Thank you
@@shado7120 .. for What?
Thank you sir
Well explained, thank You!
Thank you. it was useful
Thanks a lot
Acronyms are ridiculous.