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For example, more than 50 computational tools for read mapping are available representing a large amount of duplicated effort. Furthermore, it is unclear whether these tools are correct and only a few have a user base large enough to have encountered and reported most of the potential problems. Bringing together many largely untested tools in a computational pipeline must lead to unpredictable results. Yet, this is the current state. While presently data analysis is performed on personal computers\/workstations\/clusters, the future will see development and analysis shift to the cloud. None of the workflow management systems is ready for this transition. This presents the opportunity to build a new system, which will overcome current duplications of effort, introduce proper testing, allow for development and analysis in public and private clouds, and include reporting features leading to interactive documents.<\/jats:p>","DOI":"10.1515\/jib-2019-0024","type":"journal-article","created":{"date-parts":[[2019,5,30]],"date-time":"2019-05-30T09:02:52Z","timestamp":1559206972000},"source":"Crossref","is-referenced-by-count":3,"title":["Towards an Internet of Science"],"prefix":"10.1515","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2164-7335","authenticated-orcid":false,"given":"Jens","family":"Allmer","sequence":"first","affiliation":[{"name":"Hochschule Ruhr West, University of Applied Sciences, Medical Informatics and Bioinformatics , 45407 M\u00fclheim an der Ruhr , Germany"}]}],"member":"374","published-online":{"date-parts":[[2019,5,30]]},"reference":[{"key":"2023033120074887884_j_jib-2019-0024_ref_001_w2aab3b7b5b1b6b1ab1b5b1Aa","doi-asserted-by":"crossref","unstructured":"Lipman DJ, Pearson WR. 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