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Table 1 A summary of statistics for domain-centric GO annotations.

From: A domain-centric solution to functional genomics via dcGO Predictor

 

Ontology1

#Domains2

#Terms3

#Annotations4

#Density5

3,246 FA domains6

BP

1,696

6,699

106,855

9.41E-03

 

MF

1,544

1,937

19,329

6.46E-03

 

CC

1,490

902

30,084

2.24E-02

1,660 SF domains7

BP

1,177

8,632

127,680

1.26E-02

 

MF

1,096

2,253

20,009

8.10E-03

 

CC

1,054

1,134

28,636

2.40E-02

14,531 supra-domains8

BP

5,363

5,982

256,648

8.00E-03

 

MF

3,972

1,472

33,355

5.70E-03

 

CC

4,260

820

61,245

1.75E-02

  1. 1BP = Biological Process, MF = Molecular Function, CC = Cellular Component; 2The number of annotatable domains/supra-domains; 3The number of GO terms used to annotate; 4The total number of domain-centric GO annotations; 5Annotation density is defined as the observed (i.e., #Annotations) divided by the theoretical (a multiplication of #Domains and #Terms); 6A total of 3,246 distinct domains at SCOP family (FA) level; 7A total of 1,660 distinct domains at SCOP superfamily (SF) level; 8A total of 14,531 possible supra-domains.
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BMC Bioinformatics

ISSN: 1471-2105

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