smalldisco
smalldisco identifies and quantifies small interfering RNAs (siRNAs) from small RNA sequencing datasets, enabling discovery, annotation, and analysis of siRNA populations.
Key Features:
- siRNA Discovery: Identifies short reads that map antisense to annotated genomic features such as exons or mRNAs as candidate siRNAs.
- Annotation and Quantification: Annotates identified siRNAs by associating them with genomic contexts and quantifies their abundance to report expression levels.
- 3' Tail Analysis: Uses Tailor to quantify 3' nontemplated nucleotides in siRNAs and other small RNA species.
Scientific Applications:
- Gene Regulation Studies: Enables investigation of siRNA-mediated gene silencing by identifying and quantifying antisense siRNAs.
- RNA Biology Research: Supports studies of small RNA biogenesis and post-transcriptional modifications, including analyses of 3' nontemplated nucleotides.
- Transcriptomics: Provides detailed small RNA population profiles for comprehensive transcriptomic analyses.
Methodology:
Processes small RNA-seq datasets through mapping, annotation, and quantification steps using existing genomic annotations and employs Tailor for analysis of 3' nontemplated nucleotide modifications.
Topics
Details
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Linux
- Programming Languages:
- Python
- Added:
- 9/22/2023
- Last Updated:
- 11/24/2024
Operations
Data Inputs & Outputs
Read mapping
Inputs
Outputs
Publications
Caldas IV, Kelley LH, Ahmed-Braimah YH, Maine EM. smalldisco, a pipeline for siRNA discovery and 3′ tail identification. G3: Genes, Genomes, Genetics. 2023;13(6). doi:10.1093/g3journal/jkad092. PMID:37094819. PMCID:PMC10234390.
Links
Repository
https://github.com/ianvcaldas/smalldisco