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Merge pull request #675 from odidev/popins2_smcpp
Add PopIns2 and Smcpp files
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---
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name: PopIns2
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category: HPC
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description: PopIns2 enables population-scale discovery of non-reference sequence variants using colored de Bruijn graphs.
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download_url: https://github.com/kehrlab/PopIns2/releases
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works_on_arm: true
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supported_minimum_version:
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version_number: 0.13.0
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release_date: 2022/11/30
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optional_info:
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homepage_url: https://github.com/kehrlab/PopIns2
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support_caveats:
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alternative_options:
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getting_started_resources:
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arm_content:
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partner_content:
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official_docs: https://github.com/kehrlab/PopIns2#installation
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arm_recommended_minimum_version:
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version_number:
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release_date:
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reference_content:
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rationale:
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optional_hidden_info:
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release_notes__supported_minimum: https://github.com/kehrlab/PopIns2/releases/tag/v0.13.0
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release_notes__recommended_minimum:
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other_info: PopIns2 is a more scalable successor of [Popins](https://github.com/bkehr/popins). Version 0.13.0 is the only available release at GitHub, and the release notes mention that this versions adds Linux/ARM64 built to the GitHub CI. This confirm Linux/ARM64 support in PopIns2.
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name: Smcpp
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category: HPC
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description: SMC++ is a statistical genetics tool designed to infer historical population size dynamics from whole-genome sequence data. It leverages coalescent modeling to provide scalable, high-resolution estimates of effective population size over time.
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download_url: https://github.com/popgenmethods/smcpp/tags
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works_on_arm: true
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supported_minimum_version:
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version_number: 1.15.3
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release_date: 2019/11/18
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optional_info:
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homepage_url: https://github.com/popgenmethods/smcpp
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support_caveats:
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alternative_options:
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getting_started_resources:
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arm_content:
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partner_content:
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official_docs: https://github.com/popgenmethods/smcpp#build-instructions
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arm_recommended_minimum_version:
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version_number:
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release_date:
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reference_content:
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rationale:
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optional_hidden_info:
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release_notes__supported_minimum:
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release_notes__recommended_minimum:
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other_info: There are no official release notes for Linux/ARM64 support. However, version 1.15.3 can be built on Arm via "pip install git+https://github.com/popgenmethods/smcpp@v1.15.3". Prior versions fail to build commonly on both Arm and x64 while dealing with use_2to3 dependency. GitHub releases do not roll out Arm artifacts.
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