Sniper - SNP identification using Probability of Every Read Tool name | Sniper - SNP identification using Probability of Every Read |
---|
URL | http://kim.bio.upenn.edu/software/sniper.shtml |
---|
Important features | It is a SNP discovery tool which uses bayesian probabilistic model that identifies SNPs in both repetitive and unique regions of a genome from multi mapped sequence reads. |
---|
Citations | Simola DF, Kim J. Sniper: improved SNP discovery by multiply mapping deep sequenced reads. Genome Biol. 2011 Jun 20;12(6):R55. [Epub ahead of print] PubMed PMID: 21689413. |
---|
Year of publication | 2011 |
---|
Rank by usage frequency | 100 |
---|
Comments | |
---|
Function | SNP discovery |
---|
Category | Free, Downloadable |
---|
License | |
---|
Status | |
---|
Input file format | |
---|
Output file format | |
---|
Operating system | Unix/Mac OS X/CYGWIN |
---|
Operating language | Python 2.5 |
---|
Platform | Illumina/Solexa |
---|
Maintained by | Kim Laboratory Computational Evolutionary Biology |
---|
Downloadable file format | |
---|
Submission file format | |
---|
| |