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aCGH-MAS: analysis of aCGH by means of multiagent system.

De Paz JF, Benito R, Bajo J, Rodríguez AE, Abáigar M - Biomed Res Int (2015)

Bottom Line: CGH arrays analyze gains and losses in different regions in the chromosome.Information corresponding to mutations, genes, proteins, variations, CNVs, and diseases can be found in different databases and it would be of interest to incorporate information of different sources to extract relevant information.This work proposes a multiagent system to manage the information of aCGH arrays, with the aim of providing an intuitive and extensible system to analyze and interpret the results.

View Article: PubMed Central - PubMed

Affiliation: Biomedical Research Institute of Salamanca, BISITE Research Group, University of Salamanca, Edificio I+D+i, 37008 Salamanca, Spain.

ABSTRACT
There are currently different techniques, such as CGH arrays, to study genetic variations in patients. CGH arrays analyze gains and losses in different regions in the chromosome. Regions with gains or losses in pathologies are important for selecting relevant genes or CNVs (copy-number variations) associated with the variations detected within chromosomes. Information corresponding to mutations, genes, proteins, variations, CNVs, and diseases can be found in different databases and it would be of interest to incorporate information of different sources to extract relevant information. This work proposes a multiagent system to manage the information of aCGH arrays, with the aim of providing an intuitive and extensible system to analyze and interpret the results. The agent roles integrate statistical techniques to select relevant variations and visualization techniques for the interpretation of the final results and to extract relevant information from different sources of information by applying a CBR system.

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Related in: MedlinePlus

Information from UCSC for the selected segment.
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Related In: Results  -  Collection

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fig8: Information from UCSC for the selected segment.

Mentions: If there are any doubts, it is possible to consult the UCSC website to determine the relevance of a specific segment; to see the accumulated view, simply click on the segment and then select OK for the UCSC option for either the complete segment of the patient or the minimum region into which each segment has been resegmented. Figure 8 shows the window from the UCSC site and the dialogue box that appears after clicking on a particular segment. This information is useful to analyze the relevance of the regions by taking into consideration the different knowledge extraction techniques applied.


aCGH-MAS: analysis of aCGH by means of multiagent system.

De Paz JF, Benito R, Bajo J, Rodríguez AE, Abáigar M - Biomed Res Int (2015)

Information from UCSC for the selected segment.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4385609&req=5

fig8: Information from UCSC for the selected segment.
Mentions: If there are any doubts, it is possible to consult the UCSC website to determine the relevance of a specific segment; to see the accumulated view, simply click on the segment and then select OK for the UCSC option for either the complete segment of the patient or the minimum region into which each segment has been resegmented. Figure 8 shows the window from the UCSC site and the dialogue box that appears after clicking on a particular segment. This information is useful to analyze the relevance of the regions by taking into consideration the different knowledge extraction techniques applied.

Bottom Line: CGH arrays analyze gains and losses in different regions in the chromosome.Information corresponding to mutations, genes, proteins, variations, CNVs, and diseases can be found in different databases and it would be of interest to incorporate information of different sources to extract relevant information.This work proposes a multiagent system to manage the information of aCGH arrays, with the aim of providing an intuitive and extensible system to analyze and interpret the results.

View Article: PubMed Central - PubMed

Affiliation: Biomedical Research Institute of Salamanca, BISITE Research Group, University of Salamanca, Edificio I+D+i, 37008 Salamanca, Spain.

ABSTRACT
There are currently different techniques, such as CGH arrays, to study genetic variations in patients. CGH arrays analyze gains and losses in different regions in the chromosome. Regions with gains or losses in pathologies are important for selecting relevant genes or CNVs (copy-number variations) associated with the variations detected within chromosomes. Information corresponding to mutations, genes, proteins, variations, CNVs, and diseases can be found in different databases and it would be of interest to incorporate information of different sources to extract relevant information. This work proposes a multiagent system to manage the information of aCGH arrays, with the aim of providing an intuitive and extensible system to analyze and interpret the results. The agent roles integrate statistical techniques to select relevant variations and visualization techniques for the interpretation of the final results and to extract relevant information from different sources of information by applying a CBR system.

Show MeSH
Related in: MedlinePlus