DiNAMO
DiNAMO detects over-represented IUPAC motifs in DNA sequences to identify approximate and degenerate motifs in large-scale datasets generated by high-throughput sequencing technologies.
Key Features:
- Exhaustive Algorithm: DiNAMO employs an exhaustive search algorithm for comprehensive motif discovery, in contrast to greedy or probabilistic methods, enabling detection of rare motifs.
- IUPAC Motif Discovery: Identifies degenerate motifs using IUPAC models and performs exact searches for complex IUPAC patterns in DNA sequences.
- Robustness to Noise: Maintains motif detection performance in noisy datasets, supporting analysis despite sequencing noise.
Scientific Applications:
- ChIP-seq Peaks Analysis: Applied to analyze ChIP-seq peaks for identification of transcription factor binding sites and other protein–DNA interactions.
- Systematic Sequencing Error Analysis: Used to examine systematic sequencing errors to help distinguish technical artifacts from true biological signals.
Methodology:
DiNAMO uses an exhaustive search algorithm and supports a scanning mode with sliding windows and a fixed position mode.
Topics
Details
- License:
- GPL-3.0
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- C++
- Added:
- 7/30/2018
- Last Updated:
- 11/25/2024
Operations
Publications
Saad C, Noé L, Richard H, Leclerc J, Buisine M, Touzet H, Figeac M. DiNAMO: highly sensitive DNA motif discovery in high-throughput sequencing data. BMC Bioinformatics. 2018;19(1). doi:10.1186/s12859-018-2215-1. PMID:29890948. PMCID:PMC5996464.