The methods for data presentation are important in bioinformatics as data processing algorithms. The article describes the software package for the extensive analysis of tables with estimates of bacterial abundance levels in environmental samples. The package was designed to be executed in a distributed hardware environment, with powerful packages in Python in the backend and interactive front-end forms. Most of microbial ecology-specific functionality is implemented by the scikit-bio Python package, together with the other Python packages intended for big data analysis. Interactive visualisation tools are implemented by the D3.js software library, therefore, the software project is named D3b. The package is a suite of tools for the analysis of microbial ecology data implemented as a web-service and as a desktop application. It supports a substantial part of the graphical and analytical descriptions of microbial communities used in scientific publications. Source codes are available at github (sferanchuk/d3b_charts) and the on-line version of the system is accessible at d3b-charts.bri-shur.com.

中文翻译：

---

工具和Web服务器，用于微生物生态学中的数据分析和表示

数据表示方法在生物信息学中作为数据处理算法很重要。本文介绍了用于对表进行广泛分析的软件包，并估计了环境样品中细菌的丰度水平。该程序包旨在在分布式硬件环境中执行，并以后端和交互式前端形式提供功能强大的Python程序包。大多数特定于微生物生态的功能是由scikit-bio Python软件包以及其他用于大数据分析的Python软件包实现的。交互式可视化工具由D3.js软件库实现，因此，该软件项目名为D3b。该软件包是一套用于分析微生物生态数据的工具，这些工具以Web服务和桌面应用程序的形式实现。它支持科学出版物中使用的微生物群落的图形和分析描述的很大一部分。源代码可在github（sferanchuk / d3b_charts）上找到，该系统的在线版本可在d3b-charts.bri-shur.com上访问。