Marco Roos Email & Phone Number

Leiden, ZH, NL

Leiden, South Holland, Netherlands

I am privileged to lead the Biosemantics group. The group is co-founder of the FAIR principles for which its professor Barend Mons took the initiative. It focuses on computational knowledge discovery and enabling technologies for knowledge discovery for translational research on rare and genetic diseases. It is part of the LUMC Human Genetics department.

Leiden

Leiden

The LUMC biosemantics group develops and applies knowledge discovery methods to elucidate the mechanisms governing disease. The group endorses a multidisciplinary e-Science approach, involving workflows for reproducible experiments and Linked Data and text mining to create substrates for knowledge discovery.

Co-lead of the work package in the infrastructure pillar of the European Joint Programme Rare Diseases, titled 'Enabling sustainable FAIRness and Federation at the record level for RD data, patientsand samples'. Responsible for research and development of practical implementation of FAIR principles at source and at record level to facilitate computational.

Co-lead of the ELIXIR rare disease user community.

Leiden

Co-lead together with Ivo Gut on the rare disease use case in Elixir, the pan-European infrastructure for life science data. Task leader for standards for data stewardship of rare disease data.

Rare Diseases Global Open FAIR implementation network is a voluntary 'GO CHANGE' network to foster and strategically oversee the adoption of FAIR principles in the rare disease community towards a critical mass of FAIR data in this domain.

The rare disease linked data and ontology task force is a knowledge hub for linked data and ontology experts with a special interest in rare diseases and rare disease experts with special interest in interoperability. It fosters training and software development activities and supports knowledge exchange between technical experts and knowledge transfer to.

Topics of interest: e-Science, computational workflows, life science information management, data integration, chromatin research / epigenetics

Amsterdam Area, Netherlands

Co-develop new methods for computational biology based on emerging e-science technology.

Amsterdam Area, Netherlands

Involved in setting up the Integrative Bioinformatics Unit (IBU), and in establishing interdisciplinary research for bioinformatics based on new approaches emerging from e-science.

Part of team responsible for the development of the Human Transcriptome Map, statistical methods for its analysis, especially for the discovery of 'Regions of IncreaseD Gene Expression' (RIDGEs), and correlations with other genome features (Versteeg et al, Genome Research, 2003).

Investigate the architecture and movement of chromatin (DNA+associated proteins) during the cell cycle by fluorescent (confocal) microscopy. First in eukaryotic nuclei of Indian Muntjac cells (unsuccesful), then in the bacterium Escherichia coli (thesis).

Contribute to research on discriminating female and male producing bull sperm cells. Develop image processing method to measure DNA content from images of fluorescently labelled DNA in bull sperm cells.