shinyHTGQC
shinyHTGQC performs quality control of extraction-free HTG EdgeSeq sequencing data by assessing positive and negative control gene expression to flag samples as FAIL or ALERT and evaluate technical success.
Key Features:
- HTGQC R package integration: Implements QC measures and algorithms from the HTGQC R package specifically tailored to HTG EdgeSeq data.
- HTG EdgeSeq-specific QC: Provides quality-control measures designed for extraction-free HTG EdgeSeq protocols and raw sequencing outputs.
- Control gene assessment: Evaluates expression levels of provided positive and negative control genes to determine sample technical success and assign FAIL or ALERT statuses.
- Data visualization: Produces visual outputs to assist interpretation of QC results and identification of problematic samples.
Scientific Applications:
- Tumor and tumor microenvironment profiling: QC of HTG EdgeSeq gene expression datasets used to characterize tumors and their microenvironments.
- Gene expression reliability assessment: Ensures data quality prior to interpretation of gene expression patterns in research using HTG EdgeSeq assays.
Methodology:
Assesses sequencing data quality by analyzing expression levels of positive and negative control genes using algorithms from the HTGQC R package and reporting sample statuses (FAIL or ALERT).
Topics
Details
- License:
- MIT
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- R
- Added:
- 9/27/2023
- Last Updated:
- 11/24/2024
Operations
Data Inputs & Outputs
Essential dynamics
Inputs
Publications
Terzi di Bergamo L, Guidetti F, Rossi D, Bertoni F, Cascione L. HTGQC and shinyHTGQC: an R package and shinyR application for quality controls of HTG EDGE-seq protocols. Gigabyte. 2022;2022:1-5. doi:10.46471/gigabyte.74. PMID:36950141. PMCID:PMC10027062.
Links
Repository
https://github.com/LodovicoTerzi/HTGQC