Analysis of omics data

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Topics

• Genetics + genomics
• Statistical genetics
• Molecular genetics
• Statistical genetics > Genetic epidemiology > Gene discovery > Genome-wide
• Molecular genetics > Techniques > Molecular techniques > Sequencing
• Molecular genetics > Techniques > Array based/high throughput technologies
• Molecular genetics > Techniques > Molecular techniques > Omics

Abstract

Current biomedical research is experiencing a large boost in the amount of data generated. Individual genomes are being characterized at increased level of details using single nucleotide polymorphism (SNP) arrays, and, more recently, exome and whole-genome re-sequencing (WGRS). At the same time, technologies for high-throughput characterization of tens of thousands of molecular “omics” phenotypes in thousands of people are becoming increasingly affordable. The genetic analysis of highly dimensional, inter-correlated "omics" data is challenging both methodologically and computationally. In this talk, I will review problems arising in genetic analysis of "omics" data and will describe possible solutions of some of these problems.

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This resource is part of the following learning package:

• ESGM 1st Course on Molecular and Statistical Genetics of Consanguinity

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Original version - English

abstract phenomics_bologna_web_5223.pdf

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Citation

Y. Aulchenko. Analysis of omics data. EUROGENE portal. July 2012. online: http://eurogene.open.ac.uk/content/analysis-omics-data

Keywords

algorithm, Analysis of the entire coding region: Sequence analysis, association, genome, genome wide association, phenotype, population isolate, single nucleotide polymorphism, trait

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