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v0.7.0
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@iiSeymour iiSeymour released this 03 Apr 13:08
· 73 commits to master since this release
v0.7.0
2eb1b6a

Highlights

  • 66ee29a v4.1.0 simplex models.
    • dna_r10.4.1_e8.2_260bps_fast@v4.1.0
    • dna_r10.4.1_e8.2_260bps_hac@v4.1.0
    • dna_r10.4.1_e8.2_260bps_sup@v4.1.0
    • dna_r10.4.1_e8.2_400bps_fast@v4.1.0
    • dna_r10.4.1_e8.2_400bps_hac@v4.1.0
    • dna_r10.4.1_e8.2_400bps_sup@v4.1.0
  • 4cf3c6f torch 2.0 + updated requirements.
  • 3bc338a fix use of TLEN.
  • 21df7d5 v4.0.0 simplex models.
    • dna_r10.4.1_e8.2_260bps_fast@v4.0.0
    • dna_r10.4.1_e8.2_260bps_hac@v4.0.0
    • dna_r10.4.1_e8.2_260bps_sup@v4.0.0
    • dna_r10.4.1_e8.2_400bps_fast@v4.0.0
    • dna_r10.4.1_e8.2_400bps_hac@v4.0.0
    • dna_r10.4.1_e8.2_400bps_sup@v4.0.0

Installation

Torch 2.0 (from pypi.org) is now built using CUDA 11.7 so the default installation of ont-bonito can be used for Turing/Ampere GPUs.

$ pip install ont-bonito

Note: For anything other than basecaller training or method development please use dorado.

Assets 2