ArticlePLoS computational biology2016
Reactome from a WikiPathways Perspective.
Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
22 citing papers in PubMed.
- Article
- Review
- Proteomics analysis of plasma from middle-aged adults identifies protein markers of dementia risk in later life.Science translational medicine · 2023Article
- Extending inherited metabolic disorder diagnostics with biomarker interaction visualizations.Orphanet journal of rare diseases · 2023Article
- Using the Reactome Database.Current protocols · 2023Article
- Microbiome and Metabolomics in Liver Cancer: Scientific Technology.International journal of molecular sciences · 2022Review
- Many kinds of oxidized proteins are present more in the urine of the elderly.Clinical proteomics · 2022Article
- Understanding signaling and metabolic paths using semantified and harmonized information about biological interactions.PloS one · 2022Article
- COVID19 Disease Map, a computational knowledge repository of virus-host interaction mechanisms.Molecular systems biology · 2021Article
- Genome sequencing analysis identifies new loci associated with Lewy body dementia and provides insights into its genetic architecture.Nature genetics · 2021Article
- Recurrent Topics in Mass Spectrometry-Based Metabolomics and Lipidomics-Standardization, Coverage, and Throughput.Analytical chemistry · 2021Review
- WikiPathways: connecting communities.Nucleic acids research · 2021Article
- Network-Based Approach and IVI Methodologies, a Combined Data Investigation Identified Probable Key Genes in Cardiovascular Disease and Chronic Kidney Disease.Frontiers in cardiovascular medicine · 2021Article
- From Samples to Insights into Metabolism: Uncovering Biologically Relevant Information in LC-HRMS Metabolomics Data.Metabolites · 2019Review
- Transcriptomic analysis of vitamin D responses in uterine and peripheral NK cells.Reproduction (Cambridge, England) · 2019Article
- PathMe: merging and exploring mechanistic pathway knowledge.BMC bioinformatics · 2019Article
- Community-driven roadmap for integrated disease maps.Briefings in bioinformatics · 2019Review
- ComPath: an ecosystem for exploring, analyzing, and curating mappings across pathway databases.NPJ systems biology and applications · 2019Article
- Effect of Everolimus on Heterogenous Renal Cancer Cells Populations Including Renal Cancer Stem Cells.Stem cell reviews and reports · 2018Article
- WikiPathways: a multifaceted pathway database bridging metabolomics to other omics research.Nucleic acids research · 2018Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Reactome and WikiPathways are two of the most popular freely available databases for biological pathways. Reactome pathways are centrally curated with periodic input from selected domain experts. WikiPathways is a community-based platform where pathways are created and continually curated by any interested party. The nascent collaboration between WikiPathways and Reactome illustrates the mutual benefits of combining these two approaches. We created a format converter that converts Reactome pathways to the GPML format used in WikiPathways. In addition, we developed the ComplexViz plugin for PathVisio which simplifies looking up complex components. The plugin can also score the complexes on a pathway based on a user defined criterion. This score can then be visualized on the complex nodes using the visualization options provided by the plugin. Using the merged collection of curated and converted Reactome pathways, we demonstrate improved pathway coverage of relevant biological processes for the analysis of a previously described polycystic ovary syndrome gene expression dataset. Additionally, this conversion allows researchers to visualize their data on Reactome pathways using PathVisio's advanced data visualization functionalities. WikiPathways benefits from the dedicated focus and attention provided to the content converted from Reactome and the wealth of semantic information about interactions. Reactome in turn benefits from the continuous community curation available on WikiPathways. The research community at large benefits from the availability of a larger set of pathways for analysis in PathVisio and Cytoscape. The pathway statistics results obtained from PathVisio are significantly better when using a larger set of candidate pathways for analysis. The conversion serves as a general model for integration of multiple pathway resources developed using different approaches.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.