Name
Abstract | ||
|---|---|---|
Nowadays, great challenges are imposed by the existence of enormous volume of DNA and RNA sequences, which are continuously being discovered by genome sequencing projects, through the automatic sequencers based on massively parallel sequencing technologies. Thus, the task of identifying biological function for these sequences is a key activity in these high-throuput sequencing projects, where the automatic annotation must be significantly improved. In this context, this paper presents a multi-agent approach to address the important issue of automatic annotation in genome projects. We developed a sophisticated prototype named BioAgents, which simulates biologists knowledge and experience to annotate DNA or RNA sequences in genome sequencing projects, where different specialized intelligent agents work together to accomplish the annotation process. |
Year | Venue | Keywords |
|---|---|---|
2011 | ICAART 2011: PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 2 | Multi-agent system,Annotation,Genome sequencing projects,BioAgents |
Field | DocType | Citations |
Computer science,Artificial intelligence,Machine learning | Conference | 1 |
PageRank | References | Authors |
0.36 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Célia Ghedini Ralha | 1 | 65 | 19.92 |
| Hugo W. Schneider | 2 | 3 | 0.74 |
| Maria Emilia M. T. Walter | 3 | 37 | 14.23 |
| Marcelo M. Brigido | 4 | 71 | 16.62 |