Transformer-based nanopore raw signal simulator. Long Description (required)
NanoSimFormer is an end-to-end deep learning simulator for nanopore sequencing signal data that uses a Transformer architecture and basecaller-guided training to generate raw signals suitable for downstream basecalling, variant calling, and assembly benchmarking. nanopore sequencing; raw signal simulation; Transformer; deep learning; basecaller guidance; Python https://github.com/BioinfoSZU/NanoSimFormer
Step 1: Use the attribute tree to add new attributes or remove pre-selected attributes to describe the simulator.
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Summary of Proposed Changes Step 2: Review list of proposed attribute addition(s) and subtraction(s).
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Summary of Proposed Changes Current Citations/Applications