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Merge pull request #435 from EESSIbot/update-software-overview-1745545842
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docs/available_software/data/json_data.json

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docs/available_software/data/json_data_detail.json

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---
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hide:
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- toc
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json_ld:
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'@context': https://schema.org
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'@type': SoftwareApplication
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applicationCategory: DeveloperApplication
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description: Selection of conserved blocks from multiple alignments for their use
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in phylogenetic analysis
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license: Not confirmed
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name: Gblocks
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offers:
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'@type': Offer
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price: 0
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operatingSystem: LINUX
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review:
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'@type': Review
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author:
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'@type': Organization
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name: EESSI
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reviewBody: Application has been successfully made available on all architectures
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supported by EESSI
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reviewRating:
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'@type': Rating
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ratingValue: 5
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softwareRequirements: See https://www.eessi.io/docs/ for how to make EESSI available
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on your system
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softwareVersion: '[''Gblocks/0.91b'']'
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url: https://www.biologiaevolutiva.org/jcastresana/Gblocks.html
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---
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Gblocks
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=======
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Selection of conserved blocks from multiple alignments for their use in phylogenetic analysis
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https://www.biologiaevolutiva.org/jcastresana/Gblocks.html
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# Available modules
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The overview below shows which Gblocks installations are available per target architecture in EESSI, ordered based on software version (new to old).
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To start using Gblocks, load one of these modules using a `module load` command like:
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```shell
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module load Gblocks/0.91b
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```
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*(This data was automatically generated on {{ generated_time }})*
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| |aarch64/generic|aarch64/neoverse_n1|aarch64/neoverse_v1|x86_64/generic|x86_64/amd/zen2|x86_64/amd/zen3|x86_64/amd/zen4|x86_64/intel/haswell|x86_64/intel/sapphirerapids|x86_64/intel/skylake_avx512|
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| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |
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|Gblocks/0.91b|x|x|x|x|x|x|x|x|x|x|
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---
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hide:
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- toc
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json_ld:
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'@context': https://schema.org
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'@type': SoftwareApplication
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applicationCategory: DeveloperApplication
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description: MUSCLE is one of the best-performing multiple alignment programs according
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to published benchmark tests, with accuracy and speed that are consistently better
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than CLUSTALW. MUSCLE can align hundreds of sequences in seconds. Most users learn
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everything they need to know about MUSCLE in a few minutes-only a handful of command-line
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options are needed to perform common alignment tasks.
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license: Not confirmed
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name: MUSCLE
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offers:
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'@type': Offer
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price: 0
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operatingSystem: LINUX
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review:
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'@type': Review
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author:
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'@type': Organization
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name: EESSI
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reviewBody: Application has been successfully made available on all architectures
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supported by EESSI
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reviewRating:
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'@type': Rating
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ratingValue: 5
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softwareRequirements: See https://www.eessi.io/docs/ for how to make EESSI available
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on your system
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softwareVersion: '[''MUSCLE/5.1.0-GCCcore-12.3.0'']'
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url: https://drive5.com/muscle/
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---
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MUSCLE
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======
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MUSCLE is one of the best-performing multiple alignment programs according to published benchmark tests, with accuracy and speed that are consistently better than CLUSTALW. MUSCLE can align hundreds of sequences in seconds. Most users learn everything they need to know about MUSCLE in a few minutes-only a handful of command-line options are needed to perform common alignment tasks.
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https://drive5.com/muscle/
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# Available modules
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The overview below shows which MUSCLE installations are available per target architecture in EESSI, ordered based on software version (new to old).
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To start using MUSCLE, load one of these modules using a `module load` command like:
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```shell
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module load MUSCLE/5.1.0-GCCcore-12.3.0
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```
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*(This data was automatically generated on {{ generated_time }})*
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| |aarch64/generic|aarch64/neoverse_n1|aarch64/neoverse_v1|x86_64/generic|x86_64/amd/zen2|x86_64/amd/zen3|x86_64/amd/zen4|x86_64/intel/haswell|x86_64/intel/sapphirerapids|x86_64/intel/skylake_avx512|
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| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |
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|MUSCLE/5.1.0-GCCcore-12.3.0|x|x|x|x|x|x|x|x|x|x|
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---
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hide:
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- toc
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json_ld:
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'@context': https://schema.org
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'@type': SoftwareApplication
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applicationCategory: DeveloperApplication
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description: RAxML search algorithm for maximum likelihood based inference of phylogenetic
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trees.
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license: Not confirmed
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name: RAxML
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offers:
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'@type': Offer
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price: 0
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operatingSystem: LINUX
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review:
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'@type': Review
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author:
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'@type': Organization
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name: EESSI
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reviewBody: Application has been successfully made available on all architectures
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supported by EESSI
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reviewRating:
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'@type': Rating
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ratingValue: 5
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softwareRequirements: See https://www.eessi.io/docs/ for how to make EESSI available
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on your system
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softwareVersion: '[''RAxML/8.2.13-gompi-2023a-avx2'', ''RAxML/8.2.13-gompi-2023a-standard'']'
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url: https://github.com/stamatak/standard-RAxML
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---
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RAxML
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=====
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RAxML search algorithm for maximum likelihood based inference of phylogenetic trees.
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https://github.com/stamatak/standard-RAxML
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# Available modules
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The overview below shows which RAxML installations are available per target architecture in EESSI, ordered based on software version (new to old).
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To start using RAxML, load one of these modules using a `module load` command like:
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```shell
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module load RAxML/8.2.13-gompi-2023a-standard
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```
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*(This data was automatically generated on {{ generated_time }})*
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| |aarch64/generic|aarch64/neoverse_n1|aarch64/neoverse_v1|x86_64/generic|x86_64/amd/zen2|x86_64/amd/zen3|x86_64/amd/zen4|x86_64/intel/haswell|x86_64/intel/sapphirerapids|x86_64/intel/skylake_avx512|
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| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |
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|RAxML/8.2.13-gompi-2023a-standard|x|x|x|-|-|-|-|-|-|-|
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|RAxML/8.2.13-gompi-2023a-avx2|-|-|-|x|x|x|x|x|x|x|
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---
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hide:
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json_ld:
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'@context': https://schema.org
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'@type': SoftwareApplication
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applicationCategory: DeveloperApplication
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description: Automatized phylogenetic tree building from bacterial core genomes.
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license: Not confirmed
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name: bcgTree
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offers:
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'@type': Offer
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price: 0
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operatingSystem: LINUX
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review:
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'@type': Review
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author:
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'@type': Organization
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name: EESSI
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reviewBody: Application has been successfully made available on all architectures
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supported by EESSI
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reviewRating:
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'@type': Rating
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ratingValue: 5
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softwareRequirements: See https://www.eessi.io/docs/ for how to make EESSI available
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on your system
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softwareVersion: '[''bcgTree/1.2.1-foss-2023a'']'
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url: https://github.com/molbiodiv/bcgTree
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---
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bcgTree
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=======
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Automatized phylogenetic tree building from bacterial core genomes.
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https://github.com/molbiodiv/bcgTree
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# Available modules
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The overview below shows which bcgTree installations are available per target architecture in EESSI, ordered based on software version (new to old).
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To start using bcgTree, load one of these modules using a `module load` command like:
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```shell
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module load bcgTree/1.2.1-foss-2023a
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```
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*(This data was automatically generated on {{ generated_time }})*
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| |aarch64/generic|aarch64/neoverse_n1|aarch64/neoverse_v1|x86_64/generic|x86_64/amd/zen2|x86_64/amd/zen3|x86_64/amd/zen4|x86_64/intel/haswell|x86_64/intel/sapphirerapids|x86_64/intel/skylake_avx512|
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| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |
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|bcgTree/1.2.1-foss-2023a|x|x|x|x|x|x|x|x|x|x|

mkdocs.yml

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- icon: fontawesome/brands/twitter
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link: https://twitter.com/eessi_hpc
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# this gets auto-updated via update_generated_time.sh script run in update_available_software.yml action
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generated_time: "Tue, 08 Apr 2025 at 01:48:33 UTC"
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generated_time: "Fri, 25 Apr 2025 at 01:50:40 UTC"
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extra_javascript:
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# mermaid diagram
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- https://cdn.jsdelivr.net/npm/mermaid@10/dist/mermaid.esm.min.mjs

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