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. 2016 Aug 22;17(1):314. doi: 10.1186/s12859-016-1179-2

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© The Author(s) 2016

Open Access This 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. 2 — Workflow of drug resistance prediction: First, protein as well as RNA/DNA sequences are quality controlled. The latter ones are then translated into protein sequences. The second steps includes descriptor encoding and interpolation. Next, the drug resistance/tropism is predicted on a per sequences level. Finally, a clinical report is generated