4.0.2

• The deep learning model is the same as in v4.0.1. Users should see nearly identical performance in BrdU and EdU calling.
• Fork speed and stall calling has been fine-tuned from v4.0.1. Users should now see a closer match between v4.0.2 on R10 pores and that of v3.1.2 on R9 pores.
• Starting with this release, we will be providing supported Singularity images here (https://cloud.sylabs.io/library/mboemo). This is now the recommended way to use and run DNAscent.
• There was a longstanding issue of different basecallers producing slightly different sequencing summary formats which could trip up DNAscent index. Previously, we provided various flags for DNAscent index to account for the different formats but this was more complicated than it needed to be. DNAscent index will now tune itself for whatever sequencing summary format you have.
• v4.0.1 had an issue where one of the model layers was not properly optimised for GPU usage by TensorFlow 2.12.0. This was causing slow runtimes of DNAscent detect on certain GPUs. The issue is fixed in this release, although it required a rollback to TensorFlow 2.4.1 (at least for now). Part of our aim in releasing and supporting Singularity images was to mitigate any inconvenience that might have been caused by the need to change CUDA and CuDNN versions.
• POD5 and Dorado support are coming in a 4.0.3 release which will be shipped in the near future.