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Related Concept Videos

Measurements of Strain01:27

Measurements of Strain

Strain quantifies the deformation of a material under force, typically measured as normal strain, which represents the change in length when compared with the original length. Electrical strain gauges are used for enhanced accuracy. These devices consist of a conductive wire mounted on a paper backing that adheres to the material's surface. These gauges operate on the piezoresistive effect, where the wire's electrical resistance changes in response to mechanical deformation. The strain gauge...
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Modern Molecular Taxonomy

Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...

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Related Experiment Video

Updated: Jun 5, 2026

High Throughput Yeast Strain Phenotyping with Droplet-Based RNA Sequencing
07:55

High Throughput Yeast Strain Phenotyping with Droplet-Based RNA Sequencing

Published on: May 21, 2020

ZipStrain Enables Rapid and Precise Strain-Resolved Metagenomics.

Parsa Ghadermazi1, Joanne B Emerson2, Matthew R Olm1

  • 1Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA.

Biorxiv : the Preprint Server for Biology
|June 4, 2026
PubMed
Summary
This summary is machine-generated.

ZipStrain enables faster, more accurate strain-resolved metagenomics for microbial community analysis. This tool reveals microbial population structures and gene variations across human samples, enhancing our understanding of microbial ecology.

Keywords:
bioinformaticsgut microbiomemetagenomics softwaremicrobial transmissionpopulation genomicsstrain-resolved metagenomics

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Published on: August 20, 2021

Area of Science:

  • Microbiology
  • Genomics
  • Bioinformatics

Background:

  • Strain-resolved metagenomics is crucial for understanding microbial community composition and function at a high resolution.
  • Existing methods can be computationally intensive and slow, limiting their widespread application.

Purpose of the Study:

  • To introduce ZipStrain, a novel computational tool for highly accurate and significantly faster strain-resolved metagenomics.
  • To demonstrate ZipStrain's capabilities in analyzing large-scale human microbiome datasets.

Main Methods:

  • Development of ZipStrain, an open-source Python package and Nextflow pipeline.
  • Application of ZipStrain to a dataset of 2,754 human samples.
  • Comparative analysis of computational speed and RAM management against existing methods.

Main Results:

  • ZipStrain achieves over 500× speed improvement with superior RAM management compared to existing methods.
  • Analysis of human samples revealed a strain-sharing gradient across social relationships.
  • Striking variation in clonal structure was observed across bacteria and bacteriophage populations.
  • Identification of genes with nucleotide deviations from genome-wide expectations.

Conclusions:

  • ZipStrain provides a powerful and efficient solution for strain-resolved metagenomics.
  • The tool enables deeper insights into microbial population structure, gene content variation, and ecological dynamics.
  • ZipStrain facilitates large-scale metagenomic analyses, advancing the study of microbial communities.