sRNATargetDigger
sRNATargetDigger identifies sRNA-target gene pairs and co-regulatory relationships using high-throughput sequencing (HTS) and degradome sequencing data to map miRNA, ta-siRNA, and siRNA regulatory networks in plants.
Key Features:
- Bidirectional Identification: Two modules, Forward Digger and Reverse Digger, identify sRNA-target pairs starting from known sRNAs or from known target genes.
- Co-regulatory Network Analysis: Detects unknown sRNAs that co-regulate the same target gene, enabling identification of multi-sRNA co-regulation.
- Integration with Sequencing Data: Leverages high-throughput sequencing (HTS) and degradome sequencing data for large-scale mining of sRNA-target pairs.
Scientific Applications:
- Plant regulatory network mapping: Identification of known and novel sRNA-target interactions to study sRNA-mediated control of development, metabolism, and disease resistance in plants.
Methodology:
Computational pipeline uses two modules (Forward Digger and Reverse Digger) to integrate high-throughput sequencing (HTS) and degradome sequencing data for sRNA-target pair identification and co-regulatory relationship detection, and was validated by re-examination of published sRNA-target pairs in Arabidopsis thaliana where 170 novel co-regulatory pairs were identified.
Topics
Details
- Added:
- 1/18/2021
- Last Updated:
- 11/24/2024
Operations
Publications
Ye X, Yang Z, Jiang Y, Yu L, Guo R, Meng Y, Shao C. sRNATargetDigger: A bioinformatics software for bidirectional identification of sRNA-target pairs with co-regulatory sRNAs information. PLOS ONE. 2020;15(12):e0244480. doi:10.1371/journal.pone.0244480. PMID:33370386. PMCID:PMC7769420.