SeqBuster
SeqBuster performs profiling and characterization of small RNA sequencing datasets from high-throughput sequencing to identify and describe microRNA (miRNA) variants (isomiRs) and annotate small RNA content.
Key Features:
- Small RNA processing: Processes large-scale small RNA datasets generated by high-throughput sequencing technologies.
- Pre-analysis mapping options: Provides flexible pre-analysis read-mapping options to configure mapping strategies before downstream analysis.
- Modular analysis: Implements multiple modules for data manipulation and analysis of small RNA content.
- IsomiR characterization: Performs in-depth and exhaustive characterization of microRNA (miRNA) variants (isomiRs).
- Custom-database annotation: Annotates small RNA reads and identified variants against custom databases.
Scientific Applications:
- IsomiR profiling: Discovery and detailed description of miRNA variants (isomiRs) in small RNA-seq datasets.
- Stem cell differentiation studies: Analysis of miRNA variants associated with human embryonic stem cell differentiation.
- Biological mechanism and disease research: Identification of miRNA-variants implicated in physiological and pathological processes.
- Database-driven annotation: Functional and comparative analyses of small RNAs using custom database annotation.
Methodology:
Pre-analysis read mapping, modular data manipulation and analysis, isomiR identification and exhaustive characterization, and annotation of reads/variants against custom databases.
Topics
Details
- Maturity:
- Mature
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Mac
- Programming Languages:
- R, Java
- Added:
- 1/13/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Pantano L, Estivill X, Martí E. SeqBuster, a bioinformatic tool for the processing and analysis of small RNAs datasets, reveals ubiquitous miRNA modifications in human embryonic cells. Nucleic Acids Research. 2009;38(5):e34-e34. doi:10.1093/nar/gkp1127. PMID:20008100. PMCID:PMC2836562.