Introduction
Spack is a scientific software package manager developed primarily for the High Performance Computing (HPC) runtime environment (no administrator privileges required; the latest version of the software is available; community support from a number of supercomputing server operations teams around the world) And maintenance).
It currently runs on Linux and macOS operating systems. It makes it easy to install scientific software. Use Spack to build packages with multiple versions, configurations, platforms, and compilers, and all of these builds can coexist on the same machine (multiple users use the same library).
- Supported package names can be viewed here
- Spack package see here
The main resources that the project hopes to contribute include, but are not limited to, various bioinformatics data analysis software packages, databases, analysis process codes, and data files.
The key points that need to be contributed:
- Improve the source code and add new features
- Document translation and improvement
- Software package new
- Build the package source code / database source file image (in the early stage, you can upload to the micro cloud / Baidu cloud)
We plan to contribute a new branch under the openbiox repository, and pull request to the official branch after testing is complete.
The Bioconda community's contribution to the distribution of bioinformatics software is a good reference (2017 years in pre-print form; 2018 years in Nature Method).
简介
Spack 是一种主要针对超级计算机（High Performance Computing，HPC）运行环境开发的科学软件包管理器（不需要管理员权限；可以获取软件最新版本；由全球众多超算服务器运维团队组成的社区支持和维护）。
目前其可以运行在 Linux 和 macOS 操作系统。它使安装科学软件变得容易。使用 Spack 可以构建具有多个版本，配置，平台和编译器的软件包，并且所有这些构建可以在同一台计算机上共存（多用户使用同一个库）。
- 支持的软件包名可以在 这里 查看
- spack 包的构建格式 参考
本项目主要希望贡献的资源包括但不限于各类生物信息学数据分析软件包、数据库、分析流程代码和数据文件。
主要需要贡献的内容：
- 源代码和功能特性完善
- 文档翻译和完善
- 软件包新建
- 构建软件包源代码/数据库源文件镜像（前期可以先上传至微云/百度云）
贡献方式：
在 openbiox 仓库下贡献新分支，在测试完善后 Pull request 至官方主分支
Bioconda 社区对生物信息学软件分发所贡献的 成果 是一个比较好的参考（2017 年以预印本形式发布；2018 年发表在Nature Method）。
