DeepSomatic 1.10.0

DeepSomatic:

• Steamlining input parameters: run_deepsomatic now reads parameters from model.example_info.json files which must be present with the models to run.
• Small model in DeepSomatic: Introduced small models for tumor-normal modes in DeepSomatic improving the runtime between 12% to 40%.

Contributions:

• Ehud Amitai (@ehudamitai) from Ultima genomics for the algorithm development of multiallelic variant post-processing method that is available as “product” option.
• Vasiliy Strelnikov (@vaxyzek) for streamlining the run_deepvariant script by enabling automatic flag loading using model.example_info.json files.
• Sowmiya Nagarajan (@sonagarajan) - for helping to update the RNA-seq model.
• Shezan Rohinton Mirzan (@shezanmirzan) for migrating small model to Keras 3 and modernizing core infrastructure.
• Francisco Unda (@fcoUnda) for enhancing read sampling stability, fixing non-determinism, and creating robust read sampling approach at high coverages.
• Alec Zhang (@az-e) for providing essential internal updates and maintenance to the codebase.