Playbook Workflow Builder: Interactive Construction of Bioinformatics Workflows from a Network of Microservices
Author:
Clarke Daniel J.B.ORCID, Evangelista John ErolORCID, Xie ZhuoruiORCID, Marino Giacomo B.ORCID, Maurya Mano R.ORCID, Srinivasan SumanaORCID, Yu KeyangORCID, Petrosyan VarduhiORCID, Roth Matthew E.ORCID, Milinkov Miroslav, King Charles HadleyORCID, Vora Jeet KiranORCID, Keeney JonathonORCID, Nemarich ChristopherORCID, Khan William, Lachmann AlexanderORCID, Ahmed NasheathORCID, Jenkins Sherry L.ORCID, Agris Alexandra, Pan Juncheng, Ramachandran SrinivasanORCID, Fahy EoinORCID, Esquivel Emmanuel, Mihajlovic AleksandarORCID, Jevtic Bosko, Milinovic Vuk, Kim SeanORCID, McNeely Patrick, Wang TianyiORCID, Wenger Eric, Brown Miguel A., Sickler Alexander, Zhu YuankunORCID, Blood Philip D.ORCID, Taylor Deanne M.ORCID, Resnick Adam C.ORCID, Mazumder RajaORCID, Milosavljevic AleksandarORCID, Subramaniam ShankarORCID, Ma’ayan AviORCID
Abstract
AbstractMany biomedical research projects produce large-scale datasets that may serve as resources for the research community for hypothesis generation, facilitating diverse use cases. Towards the goal of developing infrastructure to support the findability, accessibility, interoperability, and reusability (FAIR) of biomedical digital objects and maximally extracting knowledge from data, complex queries that span across data and tools from multiple resources are currently not easily possible. By utilizing existing FAIR application programming interfaces (APIs) that serve knowledge from many repositories and bioinformatics tools, different types of complex queries and workflows can be created by using these APIs together. The Playbook Workflow Builder (PWB) is a web-based platform that facilitates interactive construction of workflows by enabling users to utilize an ever-growing network of input datasets, semantically annotated API endpoints, and data visualization tools contributed by an ecosystem. Via a user-friendly web-based user interface (UI), workflows can be constructed from contributed building-blocks without technical expertise. The output of each step of the workflows are provided in reports containing textual descriptions, as well as interactive and downloadable figures and tables. To demonstrate the ability of the PWB to generate meaningful hypotheses that draw knowledge from across multiple resources, we present several use cases. For example, one of these use cases sieves novel targets for individual cancer patients using data from the GTEx, LINCS, Metabolomics, GlyGen, and the ExRNA Communication Consortium (ERCC) Common Fund (CF) Data Coordination Centers (DCCs). The workflows created with the PWB can be published and repurposed to tackle similar use cases using different inputs. The PWB platform is available from:https://playbook-workflow-builder.cloud/.
Publisher
Cold Spring Harbor Laboratory
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