Pindel can detect breakpoints of large deletions, medium sized insertions, inversions, tandem duplications and other structural variants at single-based resolution from next-gen sequence data. It uses a pattern growth approach to identify the breakpoints of these variants from paired-end short reads.
im very new in this. I ran the demo data (hs_ref_chr20) but i can't find the expected results in the repository so i can't compare my results with them. I got several files and i converted them in a single file in .vcf format as the tutorial recommend. But i wish to see if i did something wrong before working with the real data.
Hi everyone,
im very new in this. I ran the demo data (hs_ref_chr20) but i can't find the expected results in the repository so i can't compare my results with them. I got several files and i converted them in a single file in .vcf format as the tutorial recommend. But i wish to see if i did something wrong before working with the real data.
Thank you
B.