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