DNAscent
DNAscent detects BrdU base analogues in Oxford Nanopore Technologies (ONT) sequencing reads to map DNA replication dynamics at single-molecule, single-base resolution.
Key Features:
- Base analogue detection: Detects the thymidine analogue BrdU within ONT sequencing reads.
- Residual neural network: Uses a residual neural network for fast, high-precision identification of BrdU at single-base resolution.
- Autoencoder-based replication feature detection: Employs an autoencoder to detect replication forks, origins, and termination sites.
- Single-molecule and single-base resolution: Reports replication-related signals at the level of individual DNA molecules and individual bases.
- High-throughput analysis: Processes large ONT datasets to enable measurement of replication features across many reads.
- Compatibility with experimental designs: Applicable to both synchronous and asynchronous cell population experiments.
- Protocol robustness: Demonstrates robustness across various experimental protocols for BrdU incorporation and ONT sequencing.
Scientific Applications:
- DNA replication dynamics: Mapping replication fork movement and timing to study replication dynamics genome-wide.
- Origin and termination site mapping: Identifying replication origins and termination sites from single-molecule ONT data.
- Base analogue incorporation analysis: Quantifying and localizing BrdU incorporation patterns in synchronous and asynchronous cell populations.
Methodology:
DNAscent applies deep learning to ONT sequencing reads, using a residual neural network to detect BrdU and an autoencoder to identify replication forks, origins, and termination sites.
Topics
Details
- License:
- GPL-3.0
- Programming Languages:
- C++, Python
- Added:
- 1/18/2021
- Last Updated:
- 3/1/2021
Operations
Publications
Boemo MA. DNAscent v2: Detecting Replication Forks in Nanopore Sequencing Data with Deep Learning. Unknown Journal. 2020. doi:10.1101/2020.11.04.368225.
Documentation
User manual
https://dnascent.readthedocs.io/en/latest/