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 | align="center" | bio
 | 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: http://www.rannala.org/?page_id=245 URL: http://www.rannala.org/?page_id=245 Keyword:bio<br /><br /><br /></div>
+| <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]
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 | align="center" | -
 | 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: https://sites.google.com/site/bgcsoftware/ URL: https://sites.google.com/site/bgcsoftware/<br /><br /><br /></div>
+| <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]
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 | align="center" | [https://www.comsol.com comsol]
 | align="center" | phys
-| align="center" | 5.3a, 5.4, 5.5, 5.6, 6.0.0.405, 6.1, 6.1.0.357, 6.2, 6.2.0.415
+| align="center" | 5.3a, 5.4, 5.5, 5.6, 6.0.0.405, 6.1, 6.1.0.357, 6.2.0.415
 | <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: COMSOL Multiphysics is a general-purpose software platform, based on advanced numerical methods, for modeling and simulating physics-based problems. Homepage: https://www.comsol.com URL: https://www.comsol.com Keyword:phys<br /><br /><br /></div>
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@@ Line 1,758: / Line 1,758: @@
 | align="center" | -
 | align="center" | 3.3.2, 3.3.8
-| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: GLFW is an Open Source, multi-platform library for OpenGL, OpenGL ES and Vulkan development on the desktop Homepage: https://www.glfw.org URL: https://www.glfw.org<br /><br /><br /></div>
+| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: GLFW is an Open Source, multi-platform library for OpenGL, OpenGL ES and Vulkan development on the desktop Homepage: https://www.glfw.org URL: https://www.glfw.org Compatible modules: python/3.10, python/3.10, python/3.10, python/3.10, python/3.11, python/3.11, python/3.11, python/3.11 Extensions: glfw-2.6.2<br /><br /><br /></div>
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 | align="center" | [https://ccb.jhu.edu/software/glimmerhmm glimmerhmm]
@@ Line 1,918: / Line 1,918: @@
 | align="center" | chem
 | align="center" | 2021.7-0.5.1
-| Documentation: [[GROMACS]]<div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: Modified GROMACS for small-angle scattering calculations (SAXS/WAXS/SANS). This is a GPU enabled build, containing both MPI and threadMPI builds. - CC-Wiki: GROMACS Homepage: https://cbjh.gitlab.io/gromacs-swaxs-docs/ URL: https://cbjh.gitlab.io/gromacs-swaxs-docs/ Keyword:chem<br /><br /><br /></div>
+| Documentation: [[GROMACS]]<div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: Modified GROMACS for small-angle scattering calculations (SAXS/WAXS/SANS). This is a CPU only build, containing both MPI and threadMPI builds. - CC-Wiki: GROMACS Homepage: https://cbjh.gitlab.io/gromacs-swaxs-docs/ URL: https://cbjh.gitlab.io/gromacs-swaxs-docs/ Keyword:chem<br /><br /><br /></div>
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 | align="center" | [https://www.gnu.org/software/gsl/ gsl]
@@ Line 3,142: / Line 3,142: @@
 | align="center" | [https://nbisweden.github.io/MrBayes/ mrbayes]
 | align="center" | bio
-| align="center" | 3.2.6, 3.2.7a, 3.2.7
+| align="center" | 3.2.6, 3.2.7a
 | <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: MrBayes is a program for Bayesian inference and model choice across a wide range of phylogenetic and evolutionary models. Homepage: https://nbisweden.github.io/MrBayes/ URL: https://nbisweden.github.io/MrBayes/ Keyword:bio<br /><br /><br /></div>
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@@ Line 3,198: / Line 3,198: @@
 | align="center" | bio
 | align="center" | 3.23, 4.0.0beta2
-| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: MUMmer is a system for rapidly aligning entire genomes, whether in complete or draft form. AMOS makes use of it. Homepage: http://mummer.sourceforge.net/ Keyword:bio<br /><br /><br /></div>
+| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: MUMmer is a system for rapidly aligning entire genomes, whether in complete or draft form. AMOS makes use of it. Homepage: http://mummer.sourceforge.net/ URL: http://mummer.sourceforge.net/ Keyword:bio<br /><br /><br /></div>
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 | align="center" | [https://graal.ens-lyon.fr/MUMPS/ mumps-metis]
@@ Line 3,648: / Line 3,648: @@
 | align="center" | chem
 | align="center" | 7.1.1, 7.4.1, 7.5.0, 7.6.0, 7.7.0, 8.0.0
-| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: OpenMM is a toolkit for molecular simulation. Homepage: http://openmm.org URL: http://openmm.org Compatible modules: python/3.8, python/3.9, python/3.10 Extensions: pdbfixer-1.8.1 Keyword:chem<br /><br /><br /></div>
+| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: OpenMM is a toolkit for molecular simulation. Homepage: http://openmm.org URL: http://openmm.org Compatible modules: python/3.10, python/3.11 Extensions: pdbfixer-1.8.1 Keyword:chem<br /><br /><br /></div>
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 | align="center" | [http://openmm.org openmm-alphafold]
@@ Line 4,208: / Line 4,208: @@
 | align="center" | geo
 | align="center" | 1.0
-| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: proj4-fortran is a f77 and f90 wrappers for proj4, a cartograohic projections library. Homepage: https://github.com/mhagdorn/proj4-fortran URL: https://github.com/mhagdorn/proj4-fortran Keyword:geo<br /><br /><br /></div>
+| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: proj4-fortran is a f77 and f90 wrappers for proj4, a cartograohic projections library. Homepage: https://github.com/mhagdorn/proj4-fortran Keyword:geo<br /><br /><br /></div>
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 | align="center" | [https://www.vicbioinformatics.com/software.prokka.shtml prokka]
@@ Line 4,522: / Line 4,522: @@
 | align="center" | [https://repast.github.io/ repasthpc]
 | align="center" | bio
-| align="center" | 2.0, 2.2.0, 2.3.0
+| 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>
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@@ Line 5,208: / Line 5,208: @@
 | align="center" | -
 | 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/3.8, python/3.9, 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/3.10, python/3.11<br /><br /><br /></div>
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 | align="center" | [https://github.com/tesseract-ocr/tesseract tesseract]