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.

Documentation