Explain your data by Concept Profile Analysis Web Services

F1000Research

Marco Roos¹  Jan A. Kors²  Erik van Mulligen²  Barend Mons¹  Rajaram Kaliyaperumal¹  Mark Thompson¹  Eelke van der Horst¹  Eleni Mina¹  Reinout van Schouwen¹  Kristina M. Hettne¹ 

[1] Department of Human Genetics, Leiden University Medical Center, Leiden, 2300 RC, Netherlands;Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, 3000 CA, Netherlands

Others  :  869269
DOI  :  10.12688/f1000research.4830.1

【 摘 要 】

The Concept Profile Analysis technology (overlapping co-occurring concept sets based on knowledge contained in biomedical abstracts) has led to new biomedical discoveries, and users have been able to interact with concept profiles through the interactive tool “Anni” (http://biosemantics.org/anni). However, Anni provides no way for users to save their procedures, results, or related provenance. Here we present a new suite of Web Service operations that allows bioinformaticians to design and execute their own Concept Profile Analysis workflow, possibly as part of a larger bioinformatics analysis. The source code can be downloaded from ZENODO at http://www.dx.doi.org/10.5281/zenodo.10963.

【 授权许可】

   
 © 2014 Hettne KM et al.This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

【 图 表 】

Figure 1. Taverna workflow for matching concept(s) with a predefined set of concept profiles.

Figure 2. Taverna run window.

Figure 3. Taverna details window.

Figure 4. Taverna nested workflow for gene annotation.

【 参考文献 】

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