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Modules avx512: Difference between revisions
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| align="center" | [https://github.com/bcgsc/arcs arcs] | | align="center" | [https://github.com/bcgsc/arcs arcs] | ||
| align="center" | bio | | align="center" | bio | ||
| align="center" | 1.0.1, 1.2.1, 1.2.5 | | align="center" | 1.0.1, 1.2.1, 1.2.5, 1.2.7 | ||
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: Scaffolding genome sequence assemblies using 10X Genomics GemCode/Chromium data. Homepage: https://github.com/bcgsc/arcs URL: https://github.com/bcgsc/arcs Keyword:bio<br /><br /><br /></div> | | <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: Scaffolding genome sequence assemblies using 10X Genomics GemCode/Chromium data. Homepage: https://github.com/bcgsc/arcs URL: https://github.com/bcgsc/arcs Keyword:bio<br /><br /><br /></div> | ||
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| align="center" | bio | | align="center" | bio | ||
| align="center" | 3.0.4 | | align="center" | 3.0.4 | ||
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: BayesAss: Bayesian Inference of Recent Migration Using Multilocus Genotypes Homepage | | <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: BayesAss: Bayesian Inference of Recent Migration Using Multilocus Genotypes Homepage: http://www.rannala.org/?page_id=245 Keyword:bio<br /><br /><br /></div> | ||
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| align="center" | [http://www.rannala.org/inference-of-recent-migration bayesass3-snps] | | align="center" | [http://www.rannala.org/inference-of-recent-migration bayesass3-snps] | ||
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| align="center" | - | | align="center" | - | ||
| align="center" | 1.03 | | align="center" | 1.03 | ||
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: bgc implements Bayesian estimation of genomic clines to quantify introgression at many loci. Models are available for linked loci, genotype uncertainty and sequence errors. Models for genotype uncertainty and sequence error can be used to estimate genomic cline parameters from next-generation sequence data. Homepage | | <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: bgc implements Bayesian estimation of genomic clines to quantify introgression at many loci. Models are available for linked loci, genotype uncertainty and sequence errors. Models for genotype uncertainty and sequence error can be used to estimate genomic cline parameters from next-generation sequence data. Homepage: https://sites.google.com/site/bgcsoftware/<br /><br /><br /></div> | ||
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| align="center" | [https://bitbucket.org/gavinband/bgen/src/default/ bgen] | | align="center" | [https://bitbucket.org/gavinband/bgen/src/default/ bgen] | ||
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| align="center" | phys | | align="center" | phys | ||
| align="center" | 1.2.5 | | align="center" | 1.2.5 | ||
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: Boltzmann Transport Properties (BoltzTraP) is a program for calculating the semi-classic transport coefficients. Homepage | | <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: Boltzmann Transport Properties (BoltzTraP) is a program for calculating the semi-classic transport coefficients. Homepage: http://www.icams.de/content/departments/cmat/boltztrap/ Keyword:phys<br /><br /><br /></div> | ||
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| align="center" | [https://www.boost.org/ boost] | | align="center" | [https://www.boost.org/ boost] | ||
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| align="center" | tools | | align="center" | tools | ||
| align="center" | 0.3.1 | | align="center" | 0.3.1 | ||
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: This is GLOST, the Greedy Launcher Of Small Tasks. Homepage | | <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: This is GLOST, the Greedy Launcher Of Small Tasks. Homepage: https://github.com/cea-hpc/glost Keyword:tools<br /><br /><br /></div> | ||
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| align="center" | [https://www.gnu.org/software/glpk/ glpk] | | align="center" | [https://www.gnu.org/software/glpk/ glpk] | ||
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| align="center" | vis | | align="center" | vis | ||
| align="center" | 5.99.0 | | align="center" | 5.99.0 | ||
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: Grace is a WYSIWYG 2D plotting tool for X Windows System and Motif. Homepage | | <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: Grace is a WYSIWYG 2D plotting tool for X Windows System and Motif. Homepage: http://freecode.com/projects/grace Keyword:vis<br /><br /><br /></div> | ||
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| align="center" | [http://grackle.readthedocs.io grackle] | | align="center" | [http://grackle.readthedocs.io grackle] | ||
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| align="center" | [https://sourceforge.net/projects/matio/ matio] | | align="center" | [https://sourceforge.net/projects/matio/ matio] | ||
| align="center" | io | | align="center" | io | ||
| align="center" | | | align="center" | 1.5.19, 1.5.26 | ||
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: matio is an C library for reading and writing Matlab MAT files. Homepage: https://sourceforge.net/projects/matio/ URL: https://sourceforge.net/projects/matio/ Keyword:io<br /><br /><br /></div> | | <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: matio is an C library for reading and writing Matlab MAT files. Homepage: https://sourceforge.net/projects/matio/ URL: https://sourceforge.net/projects/matio/ Keyword:io<br /><br /><br /></div> | ||
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| align="center" | math | | align="center" | math | ||
| align="center" | 4.0.3, 5.1.0 | | align="center" | 4.0.3, 5.1.0 | ||
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: METIS is a set of serial programs for partitioning graphs, partitioning finite element meshes, and producing fill reducing orderings for sparse matrices. The algorithms implemented in METIS are based on the multilevel recursive-bisection, multilevel k-way, and multi-constraint partitioning schemes. Homepage | | <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: METIS is a set of serial programs for partitioning graphs, partitioning finite element meshes, and producing fill reducing orderings for sparse matrices. The algorithms implemented in METIS are based on the multilevel recursive-bisection, multilevel k-way, and multi-constraint partitioning schemes. Homepage: http://glaros.dtc.umn.edu/gkhome/metis/metis/overview Keyword:math<br /><br /><br /></div> | ||
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| align="center" | [http://glaros.dtc.umn.edu/gkhome/metis/metis/overview metis-64idx] | | align="center" | [http://glaros.dtc.umn.edu/gkhome/metis/metis/overview metis-64idx] | ||
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| align="center" | [https://www.r-project.org/ r] | | align="center" | [https://www.r-project.org/ r] | ||
| align="center" | tools | | align="center" | tools | ||
| align="center" | 3.4.4, 3.5.1, 3.5.2, 3.6.0, 3.6.1, 4.0.0, 4.0.2, 4.0.5, 4.1.0, 4.1.2, 4.2.1, 4.2.2, 4.3.1 | | align="center" | 3.4.4, 3.5.1, 3.5.2, 3.6.0, 3.6.1, 4.0.0, 4.0.2, 4.0.5, 4.1.0, 4.1.2, 4.2.1, 4.2.2, 4.3.1, 4.4.0 | ||
| Documentation: [[R]]<div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: R is a free software environment for statistical computing and graphics. Homepage: https://www.r-project.org/ URL: https://www.r-project.org/ Keyword:tools<br /><br /><br /></div> | | Documentation: [[R]]<div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: R is a free software environment for statistical computing and graphics. Homepage: https://www.r-project.org/ URL: https://www.r-project.org/ Keyword:tools<br /><br /><br /></div> | ||
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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" | - | | align="center" | - | ||
| align="center" | 6.0.1.5, 8.6.1.6 | | align="center" | 6.0.1.5, 8.6.1.6 | ||
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: NVIDIA TensorRT is a platform for high-performance deep learning inference Homepage: https://developer.nvidia.com/tensorrt URL: https://developer.nvidia.com/tensorrt Compatible modules: python/3.10, python/3.11<br /><br /><br /></div> | | <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: NVIDIA TensorRT is a platform for high-performance deep learning inference Homepage: https://developer.nvidia.com/tensorrt URL: https://developer.nvidia.com/tensorrt Compatible modules: python/3.8, python/3.9, python/3.10, python/3.11<br /><br /><br /></div> | ||
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| align="center" | [https://github.com/tesseract-ocr/tesseract tesseract] | | align="center" | [https://github.com/tesseract-ocr/tesseract tesseract] | ||