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Related Concept Videos

RNA-seq03:21

RNA-seq

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Related Experiment Video

Updated: Aug 9, 2025

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions
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Pathogen detection in RNA-seq data with Pathonoia.

Anna-Maria Liebhoff1,2, Kevin Menden3, Alena Laschtowitz4

  • 1Institute for Medical Systems Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany. aliebho1@jhu.edu.

BMC Bioinformatics
|February 21, 2023
PubMed
Summary
This summary is machine-generated.

Pathonoia accurately detects viruses and bacteria in RNA sequencing data, improving microbial detection specificity. This new algorithm aids in understanding microbe-host interactions and generating hypotheses for disease research.

Keywords:
MetagenomicsPathogen detectionRNA sequencing

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Area of Science:

  • Microbiology
  • Bioinformatics
  • Genomics

Background:

  • RNA sequencing is crucial for detecting microbes in human tissues.
  • Current untargeted RNA sequencing methods face challenges with high false positive rates and low sensitivity for detecting rare organisms.

Purpose of the Study:

  • To introduce Pathonoia, a novel algorithm for precise and sensitive detection of viruses and bacteria in RNA sequencing data.
  • To develop an analysis framework for exploring microbe-host interactions.

Main Methods:

  • Pathonoia utilizes a k-mer based method for species identification.
  • The algorithm aggregates evidence across all reads for robust microbial detection.
  • An integrated framework correlates microbial and host gene expression to highlight interactions.

Main Results:

  • Pathonoia demonstrates superior specificity in microbial detection compared to existing methods.
  • The algorithm performs effectively on both in silico and real-world datasets.
  • Case studies in human liver and brain showcase Pathonoia's ability to support novel research hypotheses.

Conclusions:

  • Pathonoia offers a powerful tool for microbial detection and analysis in RNA sequencing data.
  • The algorithm facilitates the generation of new hypotheses regarding microbial roles in disease.
  • Pathonoia is available as a Python package with a guided analysis notebook on GitHub.