Genomon ITDetector

Genomon ITDetector detects somatic internal tandem duplications (ITDs) in cancer genome sequencing data, enabling genome-wide identification of ITDs to study their role in oncogenesis.


Key Features:

  • Somatic ITD detection: Detects somatic internal tandem duplications (ITDs) within cancer genome sequencing data.
  • Genome-wide identification: Performs genome-wide identification of ITDs across sequencing datasets.
  • High-throughput sequencing support: Operates on data generated by high-throughput sequencing technologies, including exome sequencing.
  • Validation with synthetic data: Analytical processes were validated using synthetic data sets demonstrating robust sensitivity and precision.
  • FLT3 ITD detection: Identifies common ITDs such as those involving the FLT3 gene associated with acute myeloid leukemia (AML).
  • Breadth of detection in AML: Detects a broader spectrum of ITDs affecting various putative driver genes within AML exome sequencing data.

Scientific Applications:

  • Oncogenesis research: Enables investigation of the role of ITDs in cancer development and progression.
  • AML genomics: Facilitates characterization of ITDs in genes such as FLT3 in acute myeloid leukemia (AML) using exome sequencing data.
  • Gene function analysis: Supports analysis of ITD impact on gene function and cancer progression.
  • Translational relevance: Informs studies aimed at improving diagnostic and therapeutic strategies related to ITD-driven cancers.

Methodology:

Performs genome-wide identification of somatic ITDs from high-throughput sequencing (including exome sequencing) and validates analytical performance using synthetic data sets, with reported sensitivity and precision.

Topics

Details

Tool Type:
command-line tool
Operating Systems:
Linux
Programming Languages:
Perl
Added:
8/3/2017
Last Updated:
11/25/2024

Operations

Publications

Chiba K, Shiraishi Y, Nagata Y, Yoshida K, Imoto S, Ogawa S, Miyano S. Genomon ITDetector: a tool for somatic internal tandem duplication detection from cancer genome sequencing data. Bioinformatics. 2014;31(1):116-118. doi:10.1093/bioinformatics/btu593. PMID:25192740.

Documentation

Links