21689413
This reference describes Sniper.
| PMID | PMID 21689413 |
|---|---|
| Title | Sniper: improved SNP discovery by multiply mapping deep sequenced reads. |
| Year | 2011 |
| Journal | Genome Biology |
| Author | Simola DF, Kim J. |
| Volume | |
| Start page |
Error: No contents found at URL http://www.ebi.ac.uk/europepmc/webservices/rest/MED/21689413/citations/4000.
According to Europe PubMed Central, this reference has Error: no local variable "citations" was set. " Error: no local variable "citations" was set. " is not a number. citations.
For reference, you can check Google Scholar, which lacks an API because Google ...
Error: Invalid JSON. According to Almetric, this reference has an Altmetric score of Error: no local variable "altscore" was set. " Error: no local variable "altscore" was set. " is not a number..
Full text description
SNP (single nucleotide polymorphism) discovery using next-generation sequencing data remains difficult primarily because of redundant genomic regions, such as interspersed repetitive elements and paralogous genes, present in all eukaryotic genomes. To address this problem, we developed Sniper, a novel multi-locus Bayesian probabilistic model and a computationally efficient algorithm that explicitly incorporates sequence reads that map to multiple genomic loci. Our model fully accounts for sequencing error, template bias, and multi-locus SNP combinations, maintaining high sensitivity and specificity under a broad range of conditions. An implementation of Sniper is freely available at http://kim.bio.upenn.edu/software/sniper.shtml.
