NASQAR
NASQAR provides analysis and visualization workflows for transcriptome data preprocessing, RNA-seq (including single-cell RNA-seq), metagenomics, and gene enrichment analysis.
Key Features:
- Interactive Data Analysis and Visualization: Provides interactive analysis and visualization capabilities implemented using R packages for sequencing data.
- Transcriptome Data Preprocessing: Includes workflows for preprocessing transcriptome sequencing data.
- RNA-seq Analysis (including Single-cell RNA-seq): Supports analysis workflows for bulk RNA-seq and single-cell RNA-seq datasets.
- Metagenomics: Provides tools for metagenomic sequencing data analysis.
- Gene Enrichment Analysis: Supports gene enrichment analysis for gene set interpretation.
Scientific Applications:
- Transcriptome Preprocessing: Preprocessing of transcriptome sequencing data.
- RNA-seq Analysis: Analysis of bulk RNA-seq and single-cell RNA-seq datasets.
- Metagenomics: Analysis of metagenomic sequencing data.
- Gene Enrichment: Gene enrichment analysis of gene sets.
Methodology:
Implemented using R packages for analysis and visualization.
Topics
Details
- Tool Type:
- command-line tool
- Programming Languages:
- R
- Added:
- 1/18/2021
- Last Updated:
- 3/8/2021
Operations
Publications
Yousif A, Drou N, Rowe J, Khalfan M, Gunsalus KC. NASQAR: a web-based platform for high-throughput sequencing data analysis and visualization. BMC Bioinformatics. 2020;21(1). doi:10.1186/s12859-020-03577-4. PMID:32600310. PMCID:PMC7322916.
Downloads
- Container filehttps://hub.docker.com/r/aymanm/nasqarall
Links
Repository
https://github.com/nasqar/NASQAR