Multiple studies have devised mapping schemes to associate cancer hallmarks with Gene Ontology terms and biological pathway. This study compares the similarities and differences between them, in order to establish consensus knowledge.
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Created: 22nd Jan 2021 at 15:51
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
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Submitter: Katy Wolstencroft
Biological problem addressed: Annotation
Investigation: Cancer Hallmark Consensus
Organisms: No organisms
Models: No Models
SOPs: No SOPs
Data files: GO Consensus terms, Genes annotated to selected GO terms belonging ..., Hallmark genes, Mapping from Gene Ontology terms to individual ..., Mapping from MSigDB pathways to GO terms, Mapping from pathways to individual cancer hall..., The number of genes annotated to individual can...
Snapshots: No snapshots
Consensus between selected mapping methods.
Investigations: Cancer Hallmark Consensus
Additional file 2
Investigations: Cancer Hallmark Consensus
Additional File 1
Investigations: Cancer Hallmark Consensus
Hallmark gene sets belong to different mapping schemes.
Investigations: Cancer Hallmark Consensus
derived from Ulhen's research published in 2017.
Investigations: Cancer Hallmark Consensus
The excel presents the mapping from GO terms to individual cancer hallmarks retrieved from selected papers.
Investigations: Cancer Hallmark Consensus
Investigations: Cancer Hallmark Consensus