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Environmental Applications of Microorganisms

Environmental Applications of Microorganisms

Microorganisms play a pivotal role in maintaining ecosystem balance by recycling essential elements such as carbon, nitrogen, and phosphorus, as well as supporting processes like bioremediation, wastewater treatment, and biofuel production.Microbes in Elemental CyclesIn the carbon cycle, microorganisms decompose organic matter, releasing carbon dioxide via aerobic respiration. This carbon dioxide is subsequently used by photosynthetic organisms to synthesize organic compounds, closing the...

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Polysome Purification from Soybean Symbiotic Nodules

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Calypso: a user-friendly web-server for mining and visualizing microbiome-environment interactions.

Martha Zakrzewski¹, Carla Proietti¹, Jonathan J Ellis²

¹QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia.

Bioinformatics (Oxford, England)

|December 28, 2016

Summary

This summary is machine-generated.

Calypso is a user-friendly software for analyzing metagenomic and 16S rDNA data. It employs multivariate statistics to reveal intricate environment-microbiome relationships for researchers.

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Area of Science:

Microbiology
Bioinformatics
Computational Biology

Background:

Metagenomic and 16S rDNA sequencing generate complex datasets.
Analyzing these datasets requires specialized bioinformatics tools.
Identifying associations between environmental factors and microbial communities is crucial.

Purpose of the Study:

To introduce Calypso, an accessible online software suite.
To enable non-expert users to mine, interpret, and compare taxonomic data.
To facilitate the identification of environment-microbiome associations using multivariate statistics.

Main Methods:

Calypso utilizes a web-interface for user interaction.
The software is programmed in Java, PERL, and R.
It incorporates multivariate statistical approaches, including factor analysis, regression, and network analysis.

Main Results:

Calypso provides quantitative visualizations and statistical testing.
The software supports diversity estimates and supervised learning.
It enables comprehensive analysis of complex environment-microbiome interactions.

Conclusions:

Calypso empowers non-expert users in analyzing microbial community data.
The software offers a robust platform for exploring ecological associations.
Freely available for non-commercial use, Calypso enhances microbiome research accessibility.