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从WikiPathways视角看Reactome

Reactome from a WikiPathways Perspective.

作者信息

Bohler Anwesha, Wu Guanming, Kutmon Martina, Pradhana Leontius Adhika, Coort Susan L, Hanspers Kristina, Haw Robin, Pico Alexander R, Evelo Chris T

机构信息

Department of Bioinformatics-BiGCaT, Maastricht University, Maastricht, The Netherlands.

Ontario Institute for Cancer Research, MaRS Centre, Toronto, Ontario, Canada.

出版信息

PLoS Comput Biol. 2016 May 20;12(5):e1004941. doi: 10.1371/journal.pcbi.1004941. eCollection 2016 May.

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.

摘要

Reactome和WikiPathways是两个最受欢迎的免费生物通路数据库。Reactome通路由选定的领域专家定期输入进行集中策划。WikiPathways是一个基于社区的平台,任何感兴趣的一方都可以在该平台上创建并持续策划通路。WikiPathways和Reactome之间的新合作说明了结合这两种方法的互利之处。我们创建了一个格式转换器,将Reactome通路转换为WikiPathways中使用的GPML格式。此外,我们为PathVisio开发了ComplexViz插件,该插件简化了复杂组件的查找。该插件还可以根据用户定义的标准对通路上的复合物进行评分。然后,可以使用该插件提供的可视化选项在复合物节点上可视化此分数。使用经过策划和转换的Reactome通路的合并集合,我们展示了在分析先前描述的多囊卵巢综合征基因表达数据集时,相关生物过程的通路覆盖范围得到了改善。此外,这种转换使研究人员能够使用PathVisio的高级数据可视化功能在Reactome通路上可视化他们的数据。WikiPathways受益于对从Reactome转换而来的内容的专注关注以及有关相互作用的丰富语义信息。Reactome则受益于WikiPathways上可用的持续社区策划。整个研究社区受益于在PathVisio和Cytoscape中可用于分析的更大通路集。当使用更大的候选通路集进行分析时,从PathVisio获得的通路统计结果明显更好。这种转换作为整合使用不同方法开发的多种通路资源的通用模型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d2d/4874630/afae9f7c58ed/pcbi.1004941.g001.jpg

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