FiLT3r

FiLT3r identifies and quantifies FLT3-internal tandem duplications (FLT3-ITDs) in high-throughput sequencing (HTS) data for acute myeloid leukemia (AML) research.


Key Features:

  • Alignment-free k-mer approach: Employs an alignment-free methodology that analyzes k-mers from sequencing reads covering FLT3 exons 14 and 15 to detect ITDs.
  • Targeted region analysis: Specifically focuses on reads mapping to FLT3 exons 14 and 15 to capture clinically relevant ITDs.
  • Resource efficiency: Minimizes memory usage and processing time for analysis of capture-based HTS datasets.
  • High precision: Reported no false positives or false negatives in comparative analyses against state-of-the-art alternatives and the fragment analysis gold standard.
  • Validation on diverse datasets: Validated using a cohort of 185 AML patients sequenced with capture-based HTS and on public RNA-Seq data.

Scientific Applications:

  • Clinical risk stratification and monitoring: Provides sensitive detection of FLT3-ITDs used for patient risk stratification and clinical follow-up in AML.
  • AML research: Enables detection and quantification of FLT3-ITDs in sequencing datasets to support molecular studies of AML cohorts.
  • Large-scale genomic studies: Supports scalable analysis of capture-based HTS and RNA-Seq datasets for cohort-level identification of FLT3-ITDs.

Methodology:

Alignment-free analysis using k-mer extraction and analysis from sequencing reads covering FLT3 exons 14 and 15.

Topics

Details

License:
GPL-3.0
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Mac, Linux, Windows
Programming Languages:
C++
Added:
2/27/2023
Last Updated:
2/27/2023

Operations

Data Inputs & Outputs

Publications

Boudry A, Darmon S, Duployez N, Figeac M, Geffroy S, Bucci M, Celli-Lebras K, Duchmann M, Joudinaud R, Fenwarth L, Nibourel O, Goursaud L, Itzykson R, Dombret H, Hunault M, Preudhomme C, Salson M. Frugal alignment-free identification of FLT3-internal tandem duplications with FiLT3r. BMC Bioinformatics. 2022;23(1). doi:10.1186/s12859-022-04983-6. PMID:36307762. PMCID:PMC9617311.

PMID: 36307762
PMCID: PMC9617311
Funding: - Institut National Du Cancer: PHRC 2007/1911 and PRTK TRANSLA10-060