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.
Hello- It appears that average insert size in the config file must be an integer. If the insert size number contains a fractional part, the fractional part becomes the sample name in the output files.
The examples below should reproduce the bug (Pindel version 0.2.5b8, 20151210). Test files are from the pindel repository.
Hello- It appears that average insert size in the config file must be an integer. If the insert size number contains a fractional part, the fractional part becomes the sample name in the output files.
The examples below should reproduce the bug (Pindel version 0.2.5b8, 20151210). Test files are from the pindel repository.