Abstract

Metagenomics provides quantitative measurements for microbial species over time. To obtain a global overview of an experiment and to explore the full potential of a given dataset, intuitive and interactive visualization tools are needed. Therefore, we established BioSankey to visualize microbial species in microbiome studies over time as a Sankey diagram. These diagrams are embedded into a project-specific webpage which depends only on JavaScript and Google API to allow searches of interesting species without requiring a web server or connection to a database. BioSankey is a valuable tool to visualize different data elements from single or dual RNA-seq datasets and additionally enables a straightforward exchange of results among collaboration partners.

Highlights

  • Dramatic reductions in sequencing costs and improvements of sequencing technologies have led to a higher throughput of sequencing data and to a burst of dual transcriptomic and metagenomic studies in much shorter time over the last years

  • Researchers need access to intuitive visualization tools to obtain a global overview of the data

  • When integrated into BioSankey, it is possible to infer the fluctuations in abundances in microbial species originating from metagenome projects

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Summary

Introduction

Dramatic reductions in sequencing costs and improvements of sequencing technologies have led to a higher throughput of sequencing data and to a burst of dual transcriptomic and metagenomic studies in much shorter time over the last years. To understand and to detect key species in these datasets, detailed insights into the data are necessary. Used tools include Krona [1], MEta Genome ANalyzer (MEGAN) [2], iTOL [3] and VAMPS [4]. These tools can visualize the taxonomic composition of the datasets by exploring the abundances on a species-level or on a broader taxonomic category, whereas in iTOL a phylogenetic clustering approach is used. The Integrative Genome Viewer (IGV) [5], Circos [6] and Tablet [7] are commonly used tools to visualize integrated genomic datasets

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