Naslov
Advanced computing can identify people with specific glyco-phenotypes

Autori
Pinto, Sofia ; Tica, Jelena ; Vlahoviček, Kristian

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, neobjavljeni rad, znanstveni

Skup
Glycomics meets genomics - novel strategies in combining omics approaches

Mjesto i datum
Dubrovnik, Hrvatska, 23.04.2010. - 26.04.2010

Vrsta sudjelovanja
Pozvano predavanje

Vrsta recenzije
Nije recenziran

Ključne riječi
GWAS; glycans; genotype; machine learning

Sažetak
Today, we have at our disposal a large set of widely accessible high-throughput methods based on next-generation sequencing, immunoprecipitation, mass-spectrometry, and high-performance liquid chromatography. With such an arsenal of experimental methods, it is now possible to collect and generate vast amounts of data from biological systems, and we are now facing the need for a high-performance toolkit to extract meaningful knowledge from this data. Technological advancements are only a part of the solution to describing the wide context of genomics, transcriptomics and proteomics. New experimental methods, and any that will follow, require special attention to develop the accompanying standards, protocols and computational solutions for storing, analyzing, integrating and visualizing data to best serve the needs of the scientific community. The most recent example of the –omics approach is the high-throughput HPLC analysis of glycans in human plasma, providing insights into the glycosylation patterns within large population groups. This opens up a challenge in data analysis and interpretation, as well as integrating the glycomics information with other existing experimental evidence to discover the correlation of genotype with glycosylation patterns. We will present a set of machine learning methods to analyse glycome data, with the preliminary analysis results.

Izvorni jezik
Engleski

Znanstvena područja
Biologija

POVEZANOST RADA