19561018
This reference describes Pindel.
| PMID | PMID 19561018 |
|---|---|
| Title | Pindel: a pattern growth approach to detect break points of large deletions and medium sized insertions from paired-end short reads. |
| Year | 2009 |
| Journal | Bioinformatics |
| Author | Ye K, Schulz MH, Long Q, Apweiler R, Ning Z. |
| Volume | |
| Start page |
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Full text description
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/~kye/pindel/.