Modules avx512: Difference between revisions

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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: 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]
| 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: 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]
| align="center" | [https://bitbucket.org/gavinband/bgen/src/default/ bgen]
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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: http://freecode.com/projects/grace URL: http://freecode.com/projects/grace Keyword:vis<br /><br /><br /></div>
| <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" | geo
| align="center" | geo
| align="center" | 1.0
| 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]
| align="center" | [https://www.vicbioinformatics.com/software.prokka.shtml prokka]
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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/3.8, 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]
| align="center" | [https://github.com/tesseract-ocr/tesseract tesseract]

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