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Updated: Jun 22, 2026

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
Published on: June 23, 2012
Pindel: a pattern growth approach to detect break points of large deletions and medium sized insertions from
Kai Ye1, Marcel H Schulz, Quan Long
1EMBL Outstation European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK. k.ye@lumc.nl
Motivation:
There is a strong demand in the genomic community to develop effective algorithms to reliably identify genomic variants. Indel detection using next-gen data is difficult and identification of long structural variations is extremely challenging.
Results:
We present Pindel, a pattern growth approach, to detect breakpoints of large deletions and medium-sized insertions from paired-end short reads. We use both simulated reads and real data to demonstrate the efficiency of the computer program and accuracy of the results.
Availability:
The binary code and a short user manual can be freely downloaded from http://www.ebi.ac.uk/ approximately kye/pindel/.
Contact:
k.ye@lumc.nl; zn1@sanger.ac.uk.

