Maté Ongenaert

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Summary Edit - Multi-disciplinary solution-seeker, specialized in (methylation) biomarker discovery and applied bio-informatics - Discovery and validation of prognostic DNA-methylation biomarkers: from the initial research strategy over data analysis to set-up of the validation experiments - Excellent analytical skills, combined with affinity for clear communication and detailed reporting - Detailed analysis and research reports, with clearly formulated summaries, adapted for both scientific and business use - Fast and eager learner, both in biotechnology and informatics - Passion for educating people Specialties - Discovery of bio-markers, using various technologies - Biologica

woud ngs data analysis galapagos next-generation sequencing chip-seq epigenetics scientific literature pubmed google scholar mendeley knowledge platform genevestigator data integration rna-seq expression data glpg1690 lung diseases autotaxin atx fibrosis small molecule inhibitor ipf ecobouwers passiefhuis opendeurdag lokeren encode mapping reference genome data formats sequencing google scripting spiders bioinformatics bots neuroblastoma prognosis dna-methylation maté ongenaert mbd-seq epigenome visualization geert trooskens luc dehaspe sequencing core mirna pieter mestdagh transcriptomics yvan saeys machine learning hiv jolien vermeire microarray proteomics lennart martens introduction jo vandesompele

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Aktuellste Beliebteste SlideShares

Maté Ongenaert

Unleash transcriptomics to gain insights in disease mechanisms: integration in the Galapagos knowledge platform “Hydra”

Strong reversal of the lung fibrosis disease signature by autotaxin inhibitor GLPG1690 in a mouse model for IPF

Ecobouwers opendeur passiefhuis Lokeren

Workshop NGS data analysis - 3

ENCODE project: brief summary of main findings

Workshop NGS data analysis - 2

Workshop NGS data analysis - 1

Bots & spiders

Exploring the neuroblastoma epigenome: perspectives for improved prognosis

High-throughput proteomics: from understanding data to predicting them

Microarray data and pathway analysis: example from the bench

Large scale machine learning challenges for systems biology

Integrative transcriptomics to study non-coding RNA functions

Race against the sequencing machine: processing of raw DNA sequence data at the Genomics Core

Bringing the data back to the researchers

The post-genomic era: epigenetic sequencing applications and data integration

Introduction

Literature managment training

Scientific literature managment - exercises