Selected article for: "data analysis and high throughput sequencing technology"

Author: Berry, Alexander S. F.; Farias Amorim, Camila; Berry, Corbett L.; Syrett, Camille M.; English, Elise D.; Beiting, Daniel P.
Title: An Open-Source Toolkit To Expand Bioinformatics Training in Infectious Diseases
  • Cord-id: 34stv903
  • Document date: 2021_7_6
  • ID: 34stv903
    Snippet: As access to high-throughput sequencing technology has increased, the bottleneck in biomedical research has shifted from data generation to data analysis. Here, we describe a modular and extensible framework for didactic instruction in bioinformatics using publicly available RNA sequencing data sets from infectious disease studies, with a focus on host-parasite interactions. We highlight lessons learned from adapting this course for virtual learners during the coronavirus disease 2019 (COVID-19)
    Document: As access to high-throughput sequencing technology has increased, the bottleneck in biomedical research has shifted from data generation to data analysis. Here, we describe a modular and extensible framework for didactic instruction in bioinformatics using publicly available RNA sequencing data sets from infectious disease studies, with a focus on host-parasite interactions. We highlight lessons learned from adapting this course for virtual learners during the coronavirus disease 2019 (COVID-19) pandemic.

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