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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" | 2.2.0, 2.3.0 | | align="center" | 2.0, 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" | [https://messerlab.org/slim/ slim] | | align="center" | [https://messerlab.org/slim/ slim] | ||
| align="center" | - | | align="center" | - | ||
| align="center" | 3.3.2, 3.4.0 | | align="center" | 3.3.2, 3.4.0, 4.0.1 | ||
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: SLiM is an evolutionary simulation framework that combines a powerful engine for population genetic simulations with the capability of modeling arbitrarily complex evolutionary scenarios. Simulations are configured via the integrated Eidos scripting language that allows interactive control over practically every aspect of the simulated evolutionary scenarios. The underlying individual-based simulation engine is highly optimized to enable modeling of entire chromosomes in large populations. Homepage: https://messerlab.org/slim/ URL: https://messerlab.org/slim/<br /><br /><br /></div> | | <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: SLiM is an evolutionary simulation framework that combines a powerful engine for population genetic simulations with the capability of modeling arbitrarily complex evolutionary scenarios. Simulations are configured via the integrated Eidos scripting language that allows interactive control over practically every aspect of the simulated evolutionary scenarios. The underlying individual-based simulation engine is highly optimized to enable modeling of entire chromosomes in large populations. Homepage: https://messerlab.org/slim/ URL: https://messerlab.org/slim/<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] |