NVT

NVT evaluates normalization methods for RNA-Seq differential gene expression analysis as an R package by comparing normalization strategies via correlation analyses.


Key Features:

  • Normalization Method Evaluation: NVT assesses a range of normalization techniques for RNA-Seq data to reveal method-specific assumptions and performance.
  • User-Defined Gene Sets: Analysis can use user-defined sets of uniformly expressed genes to anchor comparisons among normalization methods.
  • Correlation-based Visualization: The package produces visualizations representing correlation values among normalization strategies to compare method agreement.
  • Evaluation across Experimental Conditions: NVT enables comparison of normalization performance under different experimental conditions.

Scientific Applications:

  • Differential Gene Expression Analysis: Supports selection of normalization approaches to improve reliability of detected differentially expressed genes in RNA-Seq studies.
  • Normalization Method Benchmarking: Enables benchmarking and comparison of normalization strategies across datasets and experimental conditions.

Methodology:

NVT compares normalization strategies by computing correlation values among methods using a predefined or user-defined set of uniformly expressed genes.

Topics

Details

Tool Type:
command-line tool, library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
3/27/2017
Last Updated:
11/25/2024

Operations

Publications

Eder T, Grebien F, Rattei T. NVT: a fast and simple tool for the assessment of RNA-seq normalization strategies. Bioinformatics. 2016;32(23):3682-3684. doi:10.1093/bioinformatics/btw521. PMID:27515738. PMCID:PMC5133377.

Documentation