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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...
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Using Digital Image Correlation to Characterize Local Strains on Vascular Tissue Specimens
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PathoScope 2.0: a complete computational framework for strain identification in environmental or clinical sequencing

Changjin Hong1, Solaiappan Manimaran1, Ying Shen1

  • 1Computational Biomedicine, Boston University School of Medicine, 72 E Concord St. E645, Boston, MA 02118, USA.

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|September 17, 2014
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Summary

PathoScope 2.0 offers a complete bioinformatics framework for analyzing metagenomic sequencing data. This tool accurately quantifies microbial strains, improving speed and accuracy in microbial ecology research.

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Area of Science:

  • Bioinformatics
  • Microbial Ecology
  • Genomics

Background:

  • Sequencing technologies enable high-resolution microbial community characterization.
  • Metagenomic data analysis requires efficient and sensitive computational workflows.
  • Existing tools often lack specificity, efficiency, or a complete analysis framework.

Purpose of the Study:

  • To present PathoScope 2.0, a comprehensive bioinformatics framework.
  • To enable rapid and accurate quantification of microbial strains in metagenomic data.

Main Methods:

  • PathoScope 2.0 integrates reference genome library extraction, quality control, read alignment, and strain identification.
  • The framework includes summarization and annotation of results.
  • Evaluation involved simulated data and real-world data from an E. coli outbreak.

Main Results:

  • PathoScope 2.0 accurately quantifies microbial strain proportions in sequencing data.
  • The framework successfully processed data from a significant E. coli outbreak.

Conclusions:

  • PathoScope 2.0 provides a complete, sensitive, and efficient metagenomic analysis solution.
  • It surpasses alternative methods in scope, speed, and accuracy.
  • The software is publicly available for download.