ArticleBioinformatics (Oxford, England)2019
CausalTAB: the PSI-MITAB 2.8 updated format for signalling data representation and dissemination.
Article in Bioinformatics (Oxford, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
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- The O3 guidelines: open data, open code, and open infrastructure for sustainable curated scientific resources.Scientific data · 2024Article
- A new experimental evidence-weighted signaling pathway resource in FlyBase.Development (Cambridge, England) · 2024Article
- AutophagyNet: high-resolution data source for the analysis of autophagy and its regulation.Autophagy · 2024Article
- Multilayered Networks of SalmoNet2 Enable Strain Comparisons of the Salmonella Genus on a Molecular Level.mSystems · 2022Article
- Challenges and Limitations of Biological Network Analysis.Biotech (Basel (Switzerland)) · 2022Article
- PSINDB: the postsynaptic protein-protein interaction database.Database : the journal of biological databases and curation · 2022Article
- SignaLink3: a multi-layered resource to uncover tissue-specific signaling networks.Nucleic acids research · 2022Article
- The status of causality in biological databases: data resources and data retrieval possibilities to support logical modeling.Briefings in bioinformatics · 2021Article
- Analysing the yeast complexome-the Complex Portal rising to the challenge.Nucleic acids research · 2021Article
- The Minimum Information about a Molecular Interaction CAusal STatement (MI2CAST).Bioinformatics (Oxford, England) · 2021Article
- CausalBuilder: bringing the MI2CAST causal interaction annotation standard to the curator.Database : the journal of biological databases and curation · 2021Article
- Assembling Disease Networks From Causal Interaction Resources.Frontiers in genetics · 2021Review
- Towards a unified open access dataset of molecular interactions.Nature communications · 2020Review
- CancerGeneNet: linking driver genes to cancer hallmarks.Nucleic acids research · 2020Article
- SIGNOR 2.0, the SIGnaling Network Open Resource 2.0: 2019 update.Nucleic acids research · 2020Article
- HSF1Base: A Comprehensive Database of HSF1 (Heat Shock Factor 1) Target Genes.International journal of molecular sciences · 2019Article
- Myo-REG: A Portal for Signaling Interactions in Muscle Regeneration.Frontiers in physiology · 2019Article
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18 authors.
Funding
Abstract
motivationCombining multiple layers of information underlying biological complexity into a structured framework represent a challenge in systems biology. A key task is the formalization of such information in models describing how biological entities interact to mediate the response to external and internal signals. Several databases with signalling information, focus on capturing, organizing and displaying signalling interactions by representing them as binary, causal relationships between biological entities. The curation efforts that build these individual databases demand a concerted effort to ensure interoperability among resources.
resultsAware of the enormous benefits of standardization efforts in the molecular interaction research field, representatives of the signalling network community agreed to extend the PSI-MI controlled vocabulary to include additional terms representing aspects of causal interactions. Here, we present a common standard for the representation and dissemination of signalling information: the PSI Causal Interaction tabular format (CausalTAB) which is an extension of the existing PSI-MI tab-delimited format, now designated PSI-MITAB 2.8. We define the new term 'causal interaction', and related child terms, which are children of the PSI-MI 'molecular interaction' term. The new vocabulary terms in this extended PSI-MI format will enable systems biologists to model large-scale signalling networks more precisely and with higher coverage than before. AVAILABILITY AND IMPLEMENTATION: PSI-MITAB 2.8 format and the new reference implementation of PSICQUIC are available online (https://psicquic.github.io/ and https://psicquic.github.io/MITAB28Format.html). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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