v0.5.1
Highlights
- There is no longer a requirement for a CUDA toolkit on the target system, which significantly improves the ease of installation1.
- BAM spec 0.0.2 (+move table, numbers of samples, trimming information).
Features
Bugfixes
- c8417b7 handle datatimes with subsecond resolution.
- 6f23467 fix the mappy preset.
- 737d9a2 better management of mappy's memory usage.
- 2bbd711 remora 0.1.2 - fixes bonito/remora hanging #216.
- 6e91a9d sensible minimum scaling factor - fixes #209.
Misc
- Upgrade to the latest Mappy.
- Python3.6 support dropped (EOL).
Installation
The default version on PyTorch in PyPI supports Volta and below (SM70) and can be installed like so -
$ pip install ont-bonito
For newer GPUs (Turing, Ampere) please use -
$ pip install -f https://download.pytorch.org/whl/torch_stable.html ont-bonito-cuda113