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Related Experiment Video

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High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions
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hipFG: High-throughput harmonization and integration pipeline for functional genomics data.

Jeffrey Cifello1, Pavel P Kuksa1, Naveensri Saravanan1

  • 1Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania.

Biorxiv : the Preprint Server for Biology
|May 10, 2023
PubMed
Summary
This summary is machine-generated.

Preparing diverse functional genomic (FG) data for analysis is challenging. The hipFG pipeline automates normalization, creating standardized, searchable datasets for genomic studies.

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Area of Science:

  • Genomics
  • Bioinformatics

Background:

  • Functional genomic (FG) data integration for analysis is complex due to diverse assay types and file formats.
  • Existing methods for preparing FG data are time-consuming and hinder efficient interpretation of genome-wide association studies (GWAS) and other genomic analyses.

Conclusions:

  • hipFG addresses the significant challenge of preparing functional genomic data for analysis.
  • The pipeline enables efficient and scalable integration of diverse FG data, facilitating downstream genomic studies.
  • hipFG provides a robust solution for creating analysis-ready FG datasets, accelerating genomic research and interpretation.