miXGENE: an Effective Public Tool for Integrative Analysis of High-throuhput Omics Data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F16%3A00306177" target="_blank" >RIV/68407700:21230/16:00306177 - isvavai.cz</a>

Result on the web

<a href="https://wikt-daz2016.fiit.stuba.sk/wp-content/uploads/2016/11/WIKT-DaZ-2016_Proceedings.pdf" target="_blank" >https://wikt-daz2016.fiit.stuba.sk/wp-content/uploads/2016/11/WIKT-DaZ-2016_Proceedings.pdf</a>

DOI - Digital Object Identifier

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Result language

čeština

Original language name

miXGENE: an Effective Public Tool for Integrative Analysis of High-throuhput Omics Data

Original language description

Molecular biology is a domain endowed by a good amount of data and well-formalized knowledge. Based on measured data and domain knowledge, an intelligent integrative analysis is capable of extracting new and more specific knowledge, which may help to comprehension of e.g. disease mechanisms. We have proposed miXGENE, a web service for integrating and analyzing high-throughput omics data, namely from the microarray-based expression or methylation measurements, together with formal biological knowledge, such as gene ontologies and curated or predicted omics interactions. The tool enables building the most employed analytical workflows for processing user-data or the data from public databases. Processing of the data is followed by their integrative statistical or machine-learning based analysis, and completed with the presentation of results in the expert-comprehensible terms. We propose an innovation of the tool which profits from the infrastructure of the Czech National Grid, CESNET – MetaCentrum, which facilitates the most computationally demanding sections.

Czech name

miXGENE: an Effective Public Tool for Integrative Analysis of High-throuhput Omics Data

Czech description

Molecular biology is a domain endowed by a good amount of data and well-formalized knowledge. Based on measured data and domain knowledge, an intelligent integrative analysis is capable of extracting new and more specific knowledge, which may help to comprehension of e.g. disease mechanisms. We have proposed miXGENE, a web service for integrating and analyzing high-throughput omics data, namely from the microarray-based expression or methylation measurements, together with formal biological knowledge, such as gene ontologies and curated or predicted omics interactions. The tool enables building the most employed analytical workflows for processing user-data or the data from public databases. Processing of the data is followed by their integrative statistical or machine-learning based analysis, and completed with the presentation of results in the expert-comprehensible terms. We propose an innovation of the tool which profits from the infrastructure of the Czech National Grid, CESNET – MetaCentrum, which facilitates the most computationally demanding sections.

Type

D - Article in proceedings

CEP classification

IN - Informatics

OECD FORD branch

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Project

<a href="/en/project/NT14377" target="_blank" >NT14377: Prediction of the response to demethylation treatment in patients with myelodysplastic syndromes using integrative genomics</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2016

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings in Informatics and Information Technologies - (WIKT & DaZ 2016) 11th Workshop on Intelligent and Knowledge Oriented Technologies 35th Conference on Data and Knowledge

ISBN

978-80-227-4619-9

ISSN

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e-ISSN

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Number of pages

4

Pages from-to

271-274

Publisher name

Vydavatel'stvo STU

Place of publication

Bratislava

Event location

Smolenice

Event date

Nov 3, 2016

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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