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. 2016 Dec 23;17(Suppl 17):535. doi: 10.1186/s12859-016-1324-y

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© The Author(s). 2016

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 5 — Data processing pipeline of website for the CMIP algorithm. First, users can input transcriptomics data and submit their computing tasks through the “Network Inference” module. When a task is finished, a notifying letter will be sent to users. Simultaneously, users can check results of their tasks on the “Task query” module. In addition, users can obtain the CMIP software in the “Download” module