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Table 4 Shows a summary of the output count after 4 program test runs

From: FunctSNP: an R package to link SNPs to functional knowledge and dbAutoMaker: a suite of Perl scripts to build SNP databases

 

Number of SNPs ...

Number of entries found in database for SNPs meeting input criteria ++

#

meeting input criteria $$

derived from WGAS meeting criteria

found in database with score = > 20

Genes

Proteins

Pathways

Gene Ontology

Homologous Genes(with Homo sapiens)

1

165

165

1

52

23

43

259

47

2

7

7

1

7

4

19

29

5

3

15

1

8

15

9

29

114

13

4

11

0

11

6

10

21

126

6

  1. # = test run number$$ criteria determines the number of SNPs input into program
  2. 1: all 165 significant SNPs
  3. 2: significant SNPs with score greater than 7
  4. 3: SNPs with score greater than 11 within 10,000 base pairs from significant SNPs
  5. 4: SNP with score greater than 24 located on genes within 10,000 base pairs from significant SNPs.
  6. ++ Example: For run 3, the highest scoring SNPs within 10,000 base pairs from 165 significant SNPs were found in database; 15 of the found SNPs met the criteria of score > 11; 1 out of the 15 SNPs found was a WGAS derived SNP; 8 SNPs from the 15 have a score = > 20. 15 SNPs are located on 15 genes with 9 protein products. The genes are involved in 29 pathways, have 114 Gene Ontology terms, and are homologous with 13 human genes.