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.