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

被引:0
作者
S. Feranchuk
N. Belkova
U. Potapova
I. Ochirov
D. Kuzmin
S. Belikov
机构
[1] Scientific Centre for Family Health and Human Reproduction Problems,Siberian Branch of Russian Academy of Sciences
[2] Limnological Institute,Laboratory of Forest Genomics, Genome Research and Education Center
[3] Regional Medical and Sports Clinic “Zdorovie”,Department of High Performance Computing, Institute of Space and Information Technologies
[4] Siberian Federal University,undefined
[5] Siberian Federal University,undefined
来源
Community Ecology | 2019年 / 20卷
关键词
Data analysis; Free software; Graphical presentation; Interactive visualization; Microbial ecology; Web server;
D O I
暂无
中图分类号
学科分类号
摘要
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.
引用
收藏
页码:230 / 237
页数:7
相关论文
共 188 条
[1]  
Almeida A(2018)Benchmarking taxonomic assignments based on 16S rRNA gene profiling of the microbiota from commonly sampled environments GigaScience 7 1-10
[2]  
Mitchell AL(2014)jvenn: an interactive Venn diagram viewer BMC Bioinformatics 15 293-2309
[3]  
Tarkowska A(2011)D3: data-driven documents IEEE Trans. Vis. Comput. Graph. 17 2301-17
[4]  
Finn RD(2016)Microbial ecology: where are we now? Postdoc. J. 4 3-336
[5]  
Bardou P(2010)QIIME allows analysis of high-throughput community sequencing data Nat. Methods 7 335-D642
[6]  
Mariette J(2018)Compositional analysis of bacterial communities in seawater, sediment, and sponges in the Misool coral reef system, Indonesia Mar. Biodiv. 48 1889-261
[7]  
Escudie F(2014)Ribosomal database project: data and tools for high throughput rRNA analysis. Nucl. Acids Res. 42 D633-1079
[8]  
Djemiel C(2018)Evaluating the use of diversity indices to distinguish between microbial communities with different traits Res. Microbiol. 169 254-317
[9]  
Klopp C(2012)Tools for protein structure prediction at the brishur.com web portal J. Life Sci. 6 1074-15
[10]  
Bostock M(2014)Analysis of the factors affecting the formation of the microbiome associated with chronic osteomyelitis of the jaw Clin. Microbiol. Infect. 20 O309-637