Towards a semi-automatic functional annotation tool based on decision-tree techniques.

ABSTRACT:

Background

Due to the continuous improvements of high throughput technologies and experimental procedures, the number of sequenced genomes is increasing exponentially. Ultimately, the task of annotating these data relies on the expertise of biologists. The necessity for annotation to be supervised by human experts is the rate limiting step of the data analysis. To face the deluge of new genomic data, the need for automating, as much as possible, the annotation process becomes critical.

Results

We consider annotation of a protein with terms of the functional hierarchy that has been used to annotate Bacillus subtilis and propose a set of rules that predict classes in terms of elements of the functional hierarchy, i.e., a class is a node or a leaf of the hierarchy tree. The rul

SUBMITTER: Aze J 

PROVIDER: S-EPMC2654970 | biostudies-literature | 2008 Dec

REPOSITORIES: biostudies-literature