High‐Resolution Analysis of Genomic Copy Number Changes

Hermsen, Mario; Coffa, Jordy; Ylstra, Bauke; Meijer, Gerrit A.; Morreau, Hans; Eijk, Ronald van; Oosting, Jan; Wezel, Tom van

doi:10.1002/9780470711675.ch1

Cited by 1 publication

(1 citation statement)

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“…Attempts have been undertaken to increase the resolution of BAC arrays in other ways, but CGH cannot compete with the flexibility and versatility of oligonucleotides. Finally, oligonucleotide arrays are being used, designed, and accepted for expression profiling and are thus widely available [ 25 ].…”

Section: Cgh Arraysmentioning

confidence: 99%

aCGH-MAS: Analysis of aCGH by means of Multiagent System

Paz

Benito

Bajo

et al. 2015

BioMed Research International

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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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Section: Cgh Arraysmentioning

confidence: 99%