Samtool Supported Models |best| -

| Model | TFLite (ms) | Samtool optimized (ms) | Speedup | |-------|-------------|------------------------|---------| | MobileNetV3 | 4.2 | 2.1 | 2.0x | | ResNet-50 | 23.5 | 12.8 | 1.84x | | BERT Base | 78.3 | 41.2 | 1.90x | | YOLOv8 Nano | 14.7 | 8.3 | 1.77x | | Whisper Tiny | 112.5 | 67.4 | 1.67x |

And to propose a new model for inclusion, submit a request via the model zoo GitHub repository. The ecosystem lives through community contributions. samtool supported models

is a widely used suite of programs for interacting with high-throughput sequencing data. It does not "support models" in a machine-learning sense, but rather supports specific file formats data structures for sequence alignment: Supported Formats SAM (Sequence Alignment/Map) BAM (binary SAM) Core Capabilities : It provides tools for sorting, merging, indexing | Model | TFLite (ms) | Samtool optimized

(Sequence Alignment/Map): The standard human-readable text format for alignments. It does not "support models" in a machine-learning

R package used in fisheries science, which provides a comprehensive suite of "Stock Assessment Methods".

In recent years, the definition of "supported models" has expanded to include machine learning (ML) frameworks. High-throughput sequencing is prone to systematic errors—patterns of incorrect base calls that are intrinsic to specific sequencing platforms. To address this, modern iterations of tools in the SAMtools ecosystem have begun to integrate ML models for error suppression and quality score recalibration.