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Related Experiment Video

Updated: May 7, 2026

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions
14:58

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions

Published on: March 5, 2022

ReportingTools: an automated result processing and presentation toolkit for high-throughput genomic analyses.

Melanie A Huntley1, Jessica L Larson, Christina Chaivorapol

  • 1Department of Bioinformatics and Computational Biology, Genentech Inc., 1 DNA Way, South San Francisco, CA 94080, USA and Department of Statistics, University of California at Davis, Davis, CA 95616, USA.

Bioinformatics (Oxford, England)
|October 1, 2013
PubMed
Summary
This summary is machine-generated.

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ReportingTools simplifies complex biological data analysis by creating interactive HTML reports. This Bioconductor package enhances data sharing and visualization for computational biology research.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Computational analyses generate large, complex datasets challenging to process and share.
  • Standardized methods are crucial for transforming raw data into accessible formats.
  • The Bioconductor ecosystem facilitates reproducible research in genomics and bioinformatics.

Purpose of the Study:

  • To introduce ReportingTools, a Bioconductor package designed for automated data reporting.
  • To enable the transformation of complex computational analysis outputs into interactive HTML reports.
  • To enhance data visualization and collaboration in biological research.

Main Methods:

  • ReportingTools automatically recognizes and processes outputs from common Bioconductor packages.

Related Experiment Videos

Last Updated: May 7, 2026

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions
14:58

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions

Published on: March 5, 2022

  • It generates customized, interactive HTML reports tailored to specific analysis results.
  • The package integrates sortable, searchable tables with external database hyperlinks and in-line graphics.

    • Main Results:

    • ReportingTools produces rich, interactive HTML reports from diverse computational analysis outputs.
    • Generated reports are content-specific, featuring sortable, searchable tables and embedded visualizations.
    • The package facilitates easier data interpretation and sharing among collaborators.

    Conclusions:

    • ReportingTools offers a flexible and efficient solution for reporting complex biological data.
    • The package enhances the utility and accessibility of computational analysis results.
    • It supports customized reporting through a well-defined API, aiding specific research applications.