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

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.

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