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SNPDigger
a tool to identify SNPs from EST data


                               here used
                                 to be
                                a funny
                               © picture
Goals

• work without genome data
• get «true» SNPs
• learn to find «true» SNPs by several
  features
candidate selection

• redundancy of mutations
• contig depth
• valid allele ratio
• ambiguous allele frequency
redundancy of
             mutations

                    fm = nmu / N


                               number of ESTs

number of mutations at locus
contig depth


numes = Sum(ESTs) in contig
valid allele ratio


          n space + n gap + n miss
fva = 1 -
                     N
ambiguous allele
  frequency

            n A + n G + nT + n C
faa = fva -
                     N
SNP identification
• mutation frequency
• residue conservation
• physical position
• mutation type
• alignment of neighbor profiles
• content of nearby alleles
training of filters
Evaluation


sensitivity = true positives / true positives + false negatives
specificity = true negatives / false positives + true negatives
Results




here used
  to be
 a funny
© picture

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SNPDigger