Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformaticsBioinformaticsPeer-reviewed journal article
BioSankey: Visualizing microbial communities and gene expression data over time
Alexander PlatzeriD, Julia PolziniD, Klaus Rembart, Ping HaniD, Denise Rauer, Thomas NußbaumeriD
Abstract
Metagenomics, RNA-seq, WGS (Whole Genome Sequencing) and other types of next-generation sequencing techniques provide quantitative measurements for single strains and genes over time. To obtain a global overview of the experiment and to explore the full potential of a given dataset, intuitive and interactive visualization tools are needed. Therefore, we established BioSankey, which allows to visualize microbial species in microbiome studies and gene expression over time as a Sankey diagram. These diagrams are embedded into a project-specific HTML page, that contains all information as provided during the installation process. BioSankey can be easily applied to analyse bacterial communities in time-series datasets. Furthermore, it can be used to analyse the fluctuations of differentially expressed genes (DEG). The output of BioSankey is a project-specific HTML page, which depends only on JavaScript to enable searches of interesting species or genes of interest without requiring a web server or connection to a database to exchange results among collaboration partners. BioSankey is a tool to visualize different data elements from single and dual RNA-seq datasets as well as from metagenomes studies.
- assay: metagenomics
- assay: bulk RNA-seq
- research focus: dimensionality reduction
- research focus: database / resource
- research focus: software / tool
- approach: statistical model
- Citations
- 16
- FWCI
- 0.25
- Field percentile
- top 43%
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