A5001163736- Cell Image Analysis Techniques
- Scientific Computing and Data Management
- Gene expression and cancer classification
- Gene Regulatory Network Analysis
- Computational Drug Discovery Methods
Ghent University
2018-2020
VIB-UGent Center for Medical Biotechnology
2018
Cell migration research has become a high-content field. However, the quantitative information encapsulated in these complex and high-dimensional datasets is not fully exploited owing to diversity of experimental protocols non-standardized output formats. In addition, typically are open for reuse. Making data Findable, Accessible, Interoperable, Reusable (FAIR) will enable meta-analysis, integration, mining. Standardized formats controlled vocabularies essential building suitable...
Abstract Cell migration research has become a high-content field. However, the quantitative information encapsulated in these complex and high-dimensional datasets is not fully exploited due to diversity of experimental protocols non-standardised output formats. In addition, typically are open for reuse. Making data Findable, Accessible, Interoperable, Reusable (FAIR) will enable meta-analysis, integration, mining. Standardised formats controlled vocabularies essential building suitable...
In cancer research, cell-based assays are used to assess cell migration and invasion. The major bottleneck is the lack of automated tools visualize analyse large amounts biological dose-response data produced. To address this challenge, we have developed an free software package for analyses, DoRes, which released as add-on freely available open-source tool CellMissy, dedicated management analysis data. DoRes implements non-linear curve fitting functionality into a robust, user-friendly...