containers

containers

生物信息学软件容器化解决方案

BioContainers是一个开源项目,为生物信息学软件提供容器化解决方案。该项目建立了容器规范和镜像库,简化了生物信息学工具的构建、部署和使用过程。除了提供现成容器,BioContainers还制定了容器创建指南,并搭建了完整的开发和测试基础设施。这一生态系统旨在提升组学分析的可重复性和易用性,尤其适用于蛋白质组学、基因组学等领域。

BioContainers生物信息学容器技术Docker开源项目Github
<img src="https://github.com/BioContainers/specs/blob/master/imgs/BioContainers.png" style="max-width: 50px;"/>

The latest information about BioContainers is available via https://BioContainers.pro

Join the chat at https://gitter.im/BioContainers/biocontainers

Containers

Repository of approved bioinformatics containers

Links:

Web Page : http://biocontainers.pro/

Project Definition : https://github.com/BioContainers/specs

Contribution Rules : https://github.com/BioContainers/specs/blob/master/CONTRIBUTING.md

Wiki of the project : https://github.com/BioContainers/specs/wiki

Containers : https://github.com/BioContainers/containers

Email : biodockers@gmail.com

License

Apache 2

Contents

  1. Essentials
    1.1. What is BioContainers
    1.2. Objectives

1. Essentials


1.1. What is BioContainers?

The BioContainers project came from the idea of using the containers-based technologies such as Docker or rkt for bioinformatics software. Having a common and controllable environment for running software could help to deal with some of the current problems during software development and distribution. BioContainers is a community-driven project that provides the infrastructure and basic guidelines to create, manage and distribute bioinformatics containers with a special focus on omics fields such as proteomics, genomics, trascriptomics and metabolomics. The main containers already implemented in BioContainers (https://github.com/BioContainers/containers) are discussed in detail, including examples on how to use BioContainers. The currently available BioContainers containers facilitate the usage, and reproducibility of software and algorithms. They can be integrated into more comprehensive bioinformatics pipelines and different architectures (local desktop, Cloud environments or HPC clusters). We also present the guidelines and specifications on how to create new containers, and how to contribute to the BioContainers project.

1.2. Objectives and Goals

  • Provide a base specification and images to easily build and deploy new bioinformatics/proteomics software including the source and examples.

  • Provide a series of containers ready to be used by the bioinformatics community (https://github.com/BioContainers/containers).

  • Define a set of guidelines and specifications to build a standardized container that can be used in combination with other containers and bioinformatics tools.

  • Define a complete infrastructure to develop, deploy and test new bioinformatics containers using continuous integration suites such as Travis Continuous Integration (https://travis-ci.org/), Shippable (https://app.shippable.com/), or manually built solutions.

  • Provide support and help to the bioinformatics community to deploy new containers for researchers that do not have bioinformatics support.

  • Provide guidelines and help on how to create reproducible pipelines by defining, reusing and reporting specific container versions which will consistently produce the exact same result and always be available in the history of the container.

  • Coordinate and integrate developers and bioinformaticians to produce best practice of documentation and software development.

2. Containers


2.1. What is a container?

Containers are build from existing operating systems. They are different from Virtual machines because they don't posses an entire guest OS inside, instead, containers are build using optimized system libraries and use the host OS memory management and process controls. Containers normally are centralized around a specific software and you can make them executable by instantiating images from them.

What is Container

2.2. What do I need to use a container?

Most of the time when a bioinformatics analysis is performed, several bioinformatics tools and software should be installed and configure. This process can take several hours and demand a lot of efforts including the installation of multiple dependencies and tools. BioContainers provides ready to use packages and tools that can be easily deployed and used in local machines, HPC and cloud architectures.

2.3. How to use a BioContainer

BioContainers are listed in two main registries:

  • Docker Hub: Docker-based containers that can use the docker infrastructure.
  • QUAY Hub: Docker- and rkt-based containers that can use the rkt infrastructure.

For a full documentation about how to use BioContainers to perform bioinformatics analysis, please check the Full Documentation

2.4. BioContainers Architecture

BioContainers is a community-driven project that allows bioinformatics to request, build and deploy bioinformatics tools using containers. The following figure presents the general BioContainers workflow:

What is Container

The next sections explain in detail the presented workflow:

  • (i) How to request a workflow
  • (ii) Use a BioContainer
  • (iii) Developing containers

2.4.1 How to Request a Container

Bioconda packages automatically build a related container. If you are looking for a bioconda package container, check related package documentation, a container in quay.io should be available, see example page. Do not forget to use the needed tag version, no latest tag is available.

Users can request a container by opening an issue in the containers repository (In the previous workflow this is the first step performed by user henrik). The issue should contain the name of the software, the url of the code or binary to be package and information about the software see BioContainers specification. When the container is deployed and fully functional, the issue will be close by the developer or the contributor to BioContainers.

2.4.2 Use a BioContainer.

When a container is deployed and the developer closes the issue in GitHub, the user (henrik) receives a notification that the container is ready. The user can then use docker or rkt to pull or fetch the corresponding container.

  1. Developing containers

3.1. How to build BioContainer's

There are two different ways to build a container.

  • Go to the GitHub repository with the recipe of the software you want, clone it, and build it yourself on your machine.
  • Use the docker daemon to search for a ready-to-use version of the containerized software you want.

Inside the central repository there is a list of softwares with docker recipes, there you can find more information about how to work with them.

3.2. What do I need to develop?

BioContainers are based on Linux systems, so you will need a computer with Linux installed. You also will need the docker or rkt daemon and the software you want to containerize.

3.3. How to create a Docker based Biocontainer?

Now you need to create a Dockerfile. Dockerfiles are simple recipes to instruct the daemon on how to set an appropriate OS and how to download, manage, install and give access to the software inside.

You can check the Docker documentation for more information.

Once the container is ready you can get in touch with us so we can make the appropriate arrangements to make your container available to everyone in the community by giving an automated build system.

3.3. How to create a rkt based Biocontainer?

Now you need to create a rkt. rkt containers are simple recipes to instruct the daemon on how to set an appropriate OS and how to download, manage, install and give access to the software inside.

You can check the rkt documentation for more information.

Once the container is ready you can get in touch with us so we can make the appropriate arrangements to make your container available to everyone in the community by giving an automated build system.

  1. Support

4.1. Get involved

Whether you want to make your own software available to others as a container, use them on your pipelines and analysis or just give opinions, you are most welcome. This is a community-driven project, that means everyone has a voice.

Here are some general ideas:

  • Browse our list of containers
  • Propose your own ideas or software
  • Interact with other if you think there is something missing.

编辑推荐精选

扣子-AI办公

扣子-AI办公

职场AI,就用扣子

AI办公助手,复杂任务高效处理。办公效率低?扣子空间AI助手支持播客生成、PPT制作、网页开发及报告写作,覆盖科研、商业、舆情等领域的专家Agent 7x24小时响应,生活工作无缝切换,提升50%效率!

堆友

堆友

多风格AI绘画神器

堆友平台由阿里巴巴设计团队创建,作为一款AI驱动的设计工具,专为设计师提供一站式增长服务。功能覆盖海量3D素材、AI绘画、实时渲染以及专业抠图,显著提升设计品质和效率。平台不仅提供工具,还是一个促进创意交流和个人发展的空间,界面友好,适合所有级别的设计师和创意工作者。

图像生成热门AI工具AI图像AI反应堆AI工具箱AI绘画GOAI艺术字堆友相机
码上飞

码上飞

零代码AI应用开发平台

零代码AI应用开发平台,用户只需一句话简单描述需求,AI能自动生成小程序、APP或H5网页应用,无需编写代码。

Vora

Vora

免费创建高清无水印Sora视频

Vora是一个免费创建高清无水印Sora视频的AI工具

Refly.AI

Refly.AI

最适合小白的AI自动化工作流平台

无需编码,轻松生成可复用、可变现的AI自动化工作流

酷表ChatExcel

酷表ChatExcel

大模型驱动的Excel数据处理工具

基于大模型交互的表格处理系统,允许用户通过对话方式完成数据整理和可视化分析。系统采用机器学习算法解析用户指令,自动执行排序、公式计算和数据透视等操作,支持多种文件格式导入导出。数据处理响应速度保持在0.8秒以内,支持超过100万行数据的即时分析。

AI工具使用教程AI营销产品酷表ChatExcelAI智能客服
TRAE编程

TRAE编程

AI辅助编程,代码自动修复

Trae是一种自适应的集成开发环境(IDE),通过自动化和多元协作改变开发流程。利用Trae,团队能够更快速、精确地编写和部署代码,从而提高编程效率和项目交付速度。Trae具备上下文感知和代码自动完成功能,是提升开发效率的理想工具。

热门AI工具生产力协作转型TraeAI IDE
AIWritePaper论文写作

AIWritePaper论文写作

AI论文写作指导平台

AIWritePaper论文写作是一站式AI论文写作辅助工具,简化了选题、文献检索至论文撰写的整个过程。通过简单设定,平台可快速生成高质量论文大纲和全文,配合图表、参考文献等一应俱全,同时提供开题报告和答辩PPT等增值服务,保障数据安全,有效提升写作效率和论文质量。

数据安全AI助手热门AI工具AI辅助写作AI论文工具论文写作智能生成大纲
博思AIPPT

博思AIPPT

AI一键生成PPT,就用博思AIPPT!

博思AIPPT,新一代的AI生成PPT平台,支持智能生成PPT、AI美化PPT、文本&链接生成PPT、导入Word/PDF/Markdown文档生成PPT等,内置海量精美PPT模板,涵盖商务、教育、科技等不同风格,同时针对每个页面提供多种版式,一键自适应切换,完美适配各种办公场景。

热门AI工具AI办公办公工具智能排版AI生成PPT博思AIPPT海量精品模板AI创作
潮际好麦

潮际好麦

AI赋能电商视觉革命,一站式智能商拍平台

潮际好麦深耕服装行业,是国内AI试衣效果最好的软件。使用先进AIGC能力为电商卖家批量提供优质的、低成本的商拍图。合作品牌有Shein、Lazada、安踏、百丽等65个国内外头部品牌,以及国内10万+淘宝、天猫、京东等主流平台的品牌商家,为卖家节省将近85%的出图成本,提升约3倍出图效率,让品牌能够快速上架。

下拉加载更多