NAMS
NAMS assesses and identifies long noncoding RNAs (lncRNAs) in Magnoliophyta (flowering plants) to enable large-scale classification and study of their roles in gene regulation.
Key Features:
- Large-scale identification: Performs large-scale assessment and identification of long noncoding RNAs (lncRNAs) in Magnoliophyta.
- lncRNA criteria: Targets lncRNAs larger than 200 nucleotides that lack protein-coding potential.
- Species specificity: Tailored specifically to Magnoliophyta species (flowering plants).
- Protocol-based assessment: Implements a comprehensive protocol for assessing lncRNAs in Magnoliophyta.
- Sequencing data support: Leverages data from high-throughput sequencing technologies to facilitate lncRNA discovery.
- Discovery and characterization: Enables discovery of novel lncRNA candidates and investigation of their regulatory functions.
- Stress-response analysis: Supports analysis of lncRNA roles in plant abiotic stress responses.
Scientific Applications:
- lncRNA cataloguing: Identification and cataloguing of lncRNAs across Magnoliophyta species.
- Gene regulation studies: Characterization of lncRNA involvement in transcriptional and regulatory networks.
- Stress biology research: Investigation of lncRNA-mediated responses to abiotic stress in plants.
- Applied plant genomics: Discovery of lncRNA candidates for plant genomics, agricultural improvement, or biotechnological applications.
Methodology:
Implements a comprehensive protocol for large-scale assessment and identification of lncRNAs in Magnoliophyta using data from high-throughput sequencing technologies.
Topics
Details
- License:
- CC-BY-4.0
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Linux
- Programming Languages:
- Perl
- Added:
- 8/3/2019
- Last Updated:
- 6/16/2020
Operations
Data Inputs & Outputs
Expression analysis
Publications
Sablok G, Sun K, Sun H. NAMS: Noncoding Assessment of long RNAs in Magnoliophyta Species. Methods in Molecular Biology. 2019. doi:10.1007/978-1-4939-9045-0_15. PMID:30945190.
PMID: 30945190
Downloads
- Software packagehttp://sunlab.cpy.cuhk.edu.hk/NAMS/NAMS-1.0.tar.bz2