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

Keevx

Keevx

AI数字人视频创作平台

Keevx 一款开箱即用的AI数字人视频创作平台,广泛适用于电商广告、企业培训与社媒宣传,让全球企业与个人创作者无需拍摄剪辑,就能快速生成多语言、高质量的专业视频。

即梦AI

即梦AI

一站式AI创作平台

提供 AI 驱动的图片、视频生成及数字人等功能,助力创意创作

扣子-AI办公

扣子-AI办公

AI办公助手,复杂任务高效处理

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!

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。

AI工具TraeAI IDE协作生产力转型热门
蛙蛙写作

蛙蛙写作

AI小说写作助手,一站式润色、改写、扩写

蛙蛙写作—国内先进的AI写作平台,涵盖小说、学术、社交媒体等多场景。提供续写、改写、润色等功能,助力创作者高效优化写作流程。界面简洁,功能全面,适合各类写作者提升内容品质和工作效率。

AI辅助写作AI工具蛙蛙写作AI写作工具学术助手办公助手营销助手AI助手
问小白

问小白

全能AI智能助手,随时解答生活与工作的多样问题

问小白,由元石科技研发的AI智能助手,快速准确地解答各种生活和工作问题,包括但不限于搜索、规划和社交互动,帮助用户在日常生活中提高效率,轻松管理个人事务。

热门AI助手AI对话AI工具聊天机器人
Transly

Transly

实时语音翻译/同声传译工具

Transly是一个多场景的AI大语言模型驱动的同声传译、专业翻译助手,它拥有超精准的音频识别翻译能力,几乎零延迟的使用体验和支持多国语言可以让你带它走遍全球,无论你是留学生、商务人士、韩剧美剧爱好者,还是出国游玩、多国会议、跨国追星等等,都可以满足你所有需要同传的场景需求,线上线下通用,扫除语言障碍,让全世界的语言交流不再有国界。

讯飞智文

讯飞智文

一键生成PPT和Word,让学习生活更轻松

讯飞智文是一个利用 AI 技术的项目,能够帮助用户生成 PPT 以及各类文档。无论是商业领域的市场分析报告、年度目标制定,还是学生群体的职业生涯规划、实习避坑指南,亦或是活动策划、旅游攻略等内容,它都能提供支持,帮助用户精准表达,轻松呈现各种信息。

AI办公办公工具AI工具讯飞智文AI在线生成PPTAI撰写助手多语种文档生成AI自动配图热门
讯飞星火

讯飞星火

深度推理能力全新升级,全面对标OpenAI o1

科大讯飞的星火大模型,支持语言理解、知识问答和文本创作等多功能,适用于多种文件和业务场景,提升办公和日常生活的效率。讯飞星火是一个提供丰富智能服务的平台,涵盖科技资讯、图像创作、写作辅助、编程解答、科研文献解读等功能,能为不同需求的用户提供便捷高效的帮助,助力用户轻松获取信息、解决问题,满足多样化使用场景。

热门AI开发模型训练AI工具讯飞星火大模型智能问答内容创作多语种支持智慧生活
Spark-TTS

Spark-TTS

一种基于大语言模型的高效单流解耦语音令牌文本到语音合成模型

Spark-TTS 是一个基于 PyTorch 的开源文本到语音合成项目,由多个知名机构联合参与。该项目提供了高效的 LLM(大语言模型)驱动的语音合成方案,支持语音克隆和语音创建功能,可通过命令行界面(CLI)和 Web UI 两种方式使用。用户可以根据需求调整语音的性别、音高、速度等参数,生成高质量的语音。该项目适用于多种场景,如有声读物制作、智能语音助手开发等。

下拉加载更多