The hallmarks mapping schemes under comparison were developed over the period of 7 years and therefore were developed using different versions of the Gene Ontology and associated annotation. Understanding which differences between mapping schemes were the result of topological or annotation changes to GO could therefore help to further refine consensus and make results and conclusions more comparable between studies.
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Created: 22nd Jan 2021 at 15:44
Last updated: 9th Feb 2021 at 09:19
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Projects: Consensus Hallmark Annotation, FAIR Functional Enrichment, The evolution of Gene Ontology
Institutions: University of Leiden, LIACS
Projects: SysMO DB, HUMET Startup, FAIRDOM, Consensus Hallmark Annotation, NL-Bioimaging FAIR Metadata Templates, FAIR Functional Enrichment, Benefit for All FAIR Data
Institutions: University of Leiden, LIACS
https://orcid.org/0000-0002-1279-5133Expertise: Biochemistry, Bioinformatics, Data Management
Tools: Data Management, Transcriptomics, Databases, Workflows, Web services, Taverna, Ontologies, semantic web
I am an Assistant Professor at Leiden University in the Leiden Institute of Advanced Computer Science. I am a bioinformatician and my research interests are in data integration. I use scientific workflows and semantic web technologies to integrate and analyse data in systems biology and functional genomics.
Projects: Consensus Hallmark Annotation, The evolution of Gene Ontology
Web page: Not specified
Data and experimental methods to support the work in the following paper:
Establishing Consensus Annotation for the Hallmarks of Cancer, 2020, Yi Chen, F.J.Verbeek and K.Wolstencroft, in submission
Programme: Hallmarks of cancer
Public web page: Not specified
Organisms: Homo sapiens
The hallmarks of cancer provide a highly cited and well-used conceptual framework for describing the processes involved in cancer cell development. However, methods for translating these high-level concepts into data-level associations between hallmarks and genes (for high throughput analysis), vary widely between studies. In this investigation we compare cancer hallmark mapping strategies from different studies, based on Gene Ontology and biological pathway annotation. By analysing the semantic ...
Submitter: Katy Wolstencroft
Studies: Comparing Cancer Hallmark Descriptions, Evolution of Gene Ontology Terms, Prognostic and Hallmark Gene Networks
Assays: Analysing Changes to GO Biological Process, Annotation Consensus and GO Consensus, Hub genes of modules and enriched GO terms, Jaccard Index Prognostic Hallmark Genes, WGCNA Prognostic Hallmark Genes
Snapshots: No snapshots
Submitter: Katy Wolstencroft
Biological problem addressed: Biological Network Analysis
Investigation: Cancer Hallmark Consensus
Organisms: No organisms
Models: No Models
SOPs: No SOPs
Data files: Edge data of GO terms in 2012, Edge data of GO terms in 2016, GO hierarchical network comparison between methods, Gene product count of GO terms in June 2012., Species data in June,2012, Term description and ID in June 2016, Term description and ID in June,2012, The number of annotations belongs to selected G..., species data in June, 2016, species data of GO in 2016, species data of GO in 2016
Snapshots: No snapshots
It includes annotation number data at June 2012, June 2016 and Jan 2021.
Investigations: Cancer Hallmark Consensus
Studies: Evolution of Gene Ontology Terms
related to Figure 6 and additional file 6
Investigations: Cancer Hallmark Consensus
Studies: Evolution of Gene Ontology Terms
it can be used to construct the GO network
Investigations: Cancer Hallmark Consensus
Studies: Evolution of Gene Ontology Terms
It can be used to construct the GO network
Investigations: Cancer Hallmark Consensus
Studies: Evolution of Gene Ontology Terms
columns are ' id' , 'ncbi_taxa_id' , 'common_names' , 'lineage_string' , 'genus' , 'species' , 'parent_id' , 'left_value' , 'right_value' , 'taxonomic_rank'.
Investigations: Cancer Hallmark Consensus
Studies: Evolution of Gene Ontology Terms
columns are ' id' , 'ncbi_taxa_id' , 'common_names' , 'lineage_string' , 'genus' , 'species' , 'parent_id' , 'left_value' , 'right_value' , 'taxonomic_rank'.
Investigations: Cancer Hallmark Consensus
Studies: Evolution of Gene Ontology Terms
columns are ' id' , 'ncbi_taxa_id' , 'common_names' , 'lineage_string' , 'genus' , 'species' , 'parent_id' , 'left_value' , 'right_value' , 'taxonomic_rank'.
Investigations: Cancer Hallmark Consensus
Studies: Evolution of Gene Ontology Terms
columns are 'id' ,'name', 'term_type' , 'GOID', 'is_obsolete','is_root' and 'is_relation'
Investigations: Cancer Hallmark Consensus
Studies: Evolution of Gene Ontology Terms
Investigations: Cancer Hallmark Consensus
Studies: Evolution of Gene Ontology Terms
columns are ' id' , 'ncbi_taxa_id' , 'common_names' , 'lineage_string' , 'genus' , 'species' , 'parent_id' , 'left_value' , 'right_value' , 'taxonomic_rank'.
Investigations: Cancer Hallmark Consensus
Studies: Evolution of Gene Ontology Terms
columns are 'id' ,'name', 'term_type' , 'GOID', 'is_obsolete','is_root' and 'is_relation'
Investigations: Cancer Hallmark Consensus
Studies: Evolution of Gene Ontology Terms