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Updated: Jun 18, 2026

High Throughput Yeast Strain Phenotyping with Droplet-Based RNA Sequencing
Published on: May 21, 2020
StrainCascade: An automated, modular workflow for high-throughput long-read bacterial genome reconstruction and
Sebastian B U Jordi1,2, Isabel Baertschi1,2, Jiaqi Li1,2
1Department of Visceral Surgery and Medicine, Bern University Hospital, University of Bern, 3010 Bern, Switzerland.
StrainCascade automates bacterial genome analysis using long-read sequencing. This pipeline enhances high-resolution comparative genomics for studying strain diversity and host-microbe interactions.
Area of Science:
- Microbiology
- Bioinformatics
- Genomics
Background:
- Long-read sequencing advances bacterial genome reconstruction.
- Fragmented bioinformatics workflows limit biological insights from genomic data.
Purpose of the Study:
- To present StrainCascade, a fully automated and modular bioinformatics pipeline.
- To integrate genome assembly, annotation, and functional profiling for bacterial genomics.
Main Methods:
- StrainCascade employs deterministic execution strategies.
- The pipeline systematically resolves strain-level structural and functional variability.
Main Results:
- StrainCascade provides a single, reproducible framework for bacterial genome analysis.
- Enables high-resolution comparative genomics of strain diversity, host-microbe interactions, antimicrobial resistance, and mobile genetic elements.
Conclusions:
- StrainCascade bridges the gap between long-read sequencing capabilities and biological insights.
- Facilitates deeper understanding of bacterial populations and their dynamics.
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