Tools and a web server for data analysis and presentation in microbial ecology

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 distrib...

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Published inCommunity ecology Vol. 20; no. 3; pp. 230 - 237
Main Authors Feranchuk, S., Belkova, N., Potapova, U., Ochirov, I., Kuzmin, D., Belikov, S.
Format Journal Article
LanguageEnglish
Published Cham Akadémiai Kiadó 01.12.2019
Springer International Publishing
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Online AccessGet full text
ISSN1585-8553
1588-2756
1588-2756
DOI10.1556/168.2019.20.3.3

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Abstract 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.
AbstractList 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.
Author Kuzmin, D.
Belikov, S.
Feranchuk, S.
Potapova, U.
Belkova, N.
Ochirov, I.
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Cites_doi 10.1186/2047-217X-1-7
10.1128/AEM.01541-09
10.1128/mSystems.00003-15
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SubjectTerms Animal Ecology
Biodiversity
bioinformatics
Community & Population Ecology
computer software
Internet
Life Sciences
Marine & Freshwater Sciences
Microbial Ecology
Plant Ecology
Python
Title Tools and a web server for data analysis and presentation in microbial ecology
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