SNPDigger
- 1. SNPDigger a tool to identify SNPs from EST data here used to be a funny 息 picture
- 2. Goals work without genome data get 束true損 SNPs learn to 鍖nd 束true損 SNPs by several features
- 3. candidate selection redundancy of mutations contig depth valid allele ratio ambiguous allele frequency
- 4. redundancy of mutations fm = nmu / N number of ESTs number of mutations at locus
- 5. contig depth numes = Sum(ESTs) in contig
- 6. valid allele ratio n space + n gap + n miss fva = 1 - N
- 7. ambiguous allele frequency n A + n G + nT + n C faa = fva - N
- 8. SNP identi鍖cation mutation frequency residue conservation physical position mutation type alignment of neighbor pro鍖les content of nearby alleles
- 10. Evaluation sensitivity = true positives / true positives + false negatives speci鍖city = true negatives / false positives + true negatives
- 11. Results here used to be a funny 息 picture