SOFTWARE
User-friendly tools, workflows and custom pipelines for genomic and microbial data analysis
Key features:
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user-friendly best-practice analysis workflow
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no bioinformatic knowledge required
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designed for real-time applications
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optimised for local and cloud computing
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data visualisation on the fly
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interactive live dashboard
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seamless integration with EPI2ME
RT-metagenomics
User-friendly best practice workflow for real-time analysis of metagenomic long-read data
Clean freshwater lies at the heart of human society. While most traditional water monitoring approaches test for specific chemicals or pathogens, the direct tracing of aquatic DNA poses a more holistic alternative which has hitherto been underappreciated due to challenges in logistics and investment. Here we present a simple, fast, inexpensive and reliable freshwater diagnostics workflow centred around portable nanopore DNA sequencing.
PuntSeq
A simple, fast, inexpensive and reliable freshwater metagenomics workflow
Metapolish
The merging, annotation & polishing tool for metabolite peak list data
Metapolish is a R tool that allows easy data processing of common Liquid- and Gas Chromatography Mass Spectrometry (LC-/GCMS) raw peak data. The tool bridges the gap between the individual sample peak list outputs generated by MS-analysis software like Thermo Xcalibur-TraceFinder or Shimadzu GCMS solution and the standardised metabolite-concentration matrix input required by downstream metabolite analysis applications such as MetaboAnalyst.
Elevate your sequence analysis with custom Snakemake + Nextflow pipelines! Unlock the full potential of microbial sequencing data with bespoke pipelines tailored to meet your unique analysis needs. Customised workflows designed by bioinformaticians to ensure reproducibility, efficiency, and seamless scalability for microbial research.
NGS + TGS pipelines
Custom Snakemake + Nextflow pipelines for reproducible analysis of microbial sequencing data
Supplementary Data
Urban & Holzer et al. (2021)
Here, we provide the supplementary data supporting Urban & Holzer et al., "Freshwater monitoring by nanopore sequencing" published 2021 in eLife. Download the raw data from our ENA repository.