STENCIL: A web templating engine for visualizing and sharing life science datasets.

Autor: Sun Q; Cornell Institute of Biotechnology, Cornell University, Ithaca, New York, United States of America., Nematbakhsh A; Cornell Institute of Biotechnology, Cornell University, Ithaca, New York, United States of America., Kuntala PK; Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania, United States of America., Kellogg G; Cornell Institute of Biotechnology, Cornell University, Ithaca, New York, United States of America., Pugh BF; Department of Molecular Biology and Genetics, Cornell University, New York, United States of America., Lai WKM; Department of Molecular Biology and Genetics, Cornell University, New York, United States of America.; Department of Computational Biology, Cornell University, New York, United States of America.
Jazyk: angličtina
Zdroj: PLoS computational biology [PLoS Comput Biol] 2022 Feb 09; Vol. 18 (2), pp. e1009859. Date of Electronic Publication: 2022 Feb 09 (Print Publication: 2022).
DOI: 10.1371/journal.pcbi.1009859
Abstrakt: The ability to aggregate experimental data analysis and results into a concise and interpretable format is a key step in evaluating the success of an experiment. This critical step determines baselines for reproducibility and is a key requirement for data dissemination. However, in practice it can be difficult to consolidate data analyses that encapsulates the broad range of datatypes available in the life sciences. We present STENCIL, a web templating engine designed to organize, visualize, and enable the sharing of interactive data visualizations. STENCIL leverages a flexible web framework for creating templates to render highly customizable visual front ends. This flexibility enables researchers to render small or large sets of experimental outcomes, producing high-quality downloadable and editable figures that retain their original relationship to the source data. REST API based back ends provide programmatic data access and supports easy data sharing. STENCIL is a lightweight tool that can stream data from Galaxy, a popular bioinformatic analysis web platform. STENCIL has been used to support the analysis and dissemination of two large scale genomic projects containing the complete data analysis for over 2,400 distinct datasets. Code and implementation details are available on GitHub: https://github.com/CEGRcode/stencil.
Competing Interests: I have read the journal’s policy and the authors of this manuscript have the following competing interests: BFP has a financial interest in Peconic, LLC, which utilizes the ChIP-exo technology mentioned in this study and could potentially benefit from the outcomes of this research.
Databáze: MEDLINE
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