SqueezeCall
SqueezeCall: Nanopore basecalling using a Squeezeformer network.
In SqueezeCall, convolution layers are used to downsample raw signals. A Squeezeformer network is employed to capture global context. Finally, a CTC decoder generates the DNA sequence by a beam search algorithm. Experiments on multiple species further demonstrate the potential of the Squeezeformer-based model to improve basecalling accuracy and its superiority over a recurrent neural network (RNN)-based model and Transformer-based models.
Topics
Details
- License:
- MIT
- Tool Type:
- command-line tool
- Added:
- 1/21/2025
- Last Updated:
- 1/21/2025
Operations
Data Inputs & Outputs
Downloads
- Downloads pagehttps://github.com/labcbb/SqueezeCall
Links
Repository
https://github.com/labcbb/SqueezeCall