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| align="center" | 2015.2, 2019.1 | | align="center" | 2015.2, 2019.1 | ||
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: Qhull computes the convex hull, Delaunay triangulation, Voronoi diagram, halfspace intersection about a point, furthest-site Delaunay triangulation, and furthest-site Voronoi diagram. The source code runs in 2-d, 3-d, 4-d, and higher dimensions. Qhull implements the Quickhull algorithm for computing the convex hull. Homepage: http://www.qhull.org URL: http://www.qhull.org Keyword:math<br /><br /><br /></div> | | <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: Qhull computes the convex hull, Delaunay triangulation, Voronoi diagram, halfspace intersection about a point, furthest-site Delaunay triangulation, and furthest-site Voronoi diagram. The source code runs in 2-d, 3-d, 4-d, and higher dimensions. Qhull implements the Quickhull algorithm for computing the convex hull. Homepage: http://www.qhull.org URL: http://www.qhull.org Keyword:math<br /><br /><br /></div> | ||
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| align="center" | [http://qiime2.org/ qiime2] | |||
| align="center" | - | |||
| align="center" | 2021.11 | |||
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: QIIME is an open-source bioinformatics pipeline for performing microbiome analysis from raw DNA sequencing data. Homepage: http://qiime2.org/ URL: http://qiime2.org/<br /><br /><br /></div> | |||
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| align="center" | [http://qjson.sourceforge.net/ qjson] | | align="center" | [http://qjson.sourceforge.net/ qjson] | ||
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| align="center" | [https://repast.github.io/ repasthpc] | | align="center" | [https://repast.github.io/ repasthpc] | ||
| align="center" | bio | | align="center" | bio | ||
| align="center" | | | align="center" | 2.2.0, 2.3.0 | ||
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: The Repast Suite is a family of advanced, free, and open source agent-based modeling and simulation platforms that have collectively been under continuous development for over 15 years: Repast for High Performance Computing 2.2.0, released on 30 September 2016, is a lean and expert-focused C++-based modeling system that is designed for use on large computing clusters and supercomputers. Homepage: https://repast.github.io/ URL: https://repast.github.io/ Keyword:bio<br /><br /><br /></div> | | <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: The Repast Suite is a family of advanced, free, and open source agent-based modeling and simulation platforms that have collectively been under continuous development for over 15 years: Repast for High Performance Computing 2.2.0, released on 30 September 2016, is a lean and expert-focused C++-based modeling system that is designed for use on large computing clusters and supercomputers. Homepage: https://repast.github.io/ URL: https://repast.github.io/ Keyword:bio<br /><br /><br /></div> | ||
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| align="center" | bio | | align="center" | bio | ||
| align="center" | 3.0.2, 3.2.0, 3.2.1, 3.2.2, 4.0.0 | | align="center" | 3.0.2, 3.2.0, 3.2.1, 3.2.2, 4.0.0 | ||
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: Trinotate is a comprehensive annotation suite designed for automatic functional annotation of transcriptomes, particularly de novo assembled transcriptomes, from model or non-model organisms. Homepage: https://trinotate.github.io/ URL: https://trinotate.github.io/ Extensions: CGI-4. | | <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: Trinotate is a comprehensive annotation suite designed for automatic functional annotation of transcriptomes, particularly de novo assembled transcriptomes, from model or non-model organisms. Homepage: https://trinotate.github.io/ URL: https://trinotate.github.io/ Extensions: CGI-4.57, Text::NSP-1.31 Keyword:bio<br /><br /><br /></div> | ||
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| align="center" | [https://triqs.github.io/triqs triqs] | | align="center" | [https://triqs.github.io/triqs triqs] |