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Cells in experimental life sciences - challenges and solution to the rapid evolution of knowledge
Sirarat Sarntivijai1, Alexander D Diehl2, Yongqun He3
1European Molecular Biology Laboratory - European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK. siiraa@ebi.ac.uk.
BMC Bioinformatics
|January 12, 2018
Summary
Biomedical research needs better ways to organize cell data. The CELLS workshop addressed challenges and proposed solutions for cell type and cell line ontologies in life sciences.
Area of Science:
- Biomedical research
- Bioinformatics
- Ontology engineering
Background:
- Cell cultures, including primary cells and immortalized cell lines, are crucial for biomedical experiments.
- The increasing volume of data from high-throughput technologies necessitates standardized ontology representations for cell types (Cell Ontology, CL) and cell lines (Cell Line Ontology, CLO).
Discussion:
- The First International Workshop on CELLS (Cells in Experimental Life Sciences) convened experts to discuss challenges and solutions in representing experimental cell data.
- Focus areas included extending CL and CLO to address broader biological questions and developing data-driven use cases by linking ontologies like EFO and OBI.
Key Insights:
- The workshop identified critical gaps in connecting experimental biology and biomedical ontology domains.
- Practical implementation plans were developed to bridge these knowledge gaps.
Outlook:
- Future work will focus on practical implementation plans and innovative solutions for developing and applying biomedical ontologies.
- Enhancing semantic infrastructure for modeling experimental cell data is key for advancing life sciences research.
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