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@@ -65,6 +65,12 @@ For somatic variant calling using **tumor-only** samples, please try [ClairS-TO]
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## Latest Updates
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*v1.2.0 (Aug 1, 2025)* : 1. Clair3 now natively supports GPU on Linux and Apple Silicon. Please refer to the [GPU quick start guide](docs/gpu_quick_start.md) for usage. Clair3 on GPU runs ~5 times compared CPU. Below is quick speed comparison.
*v1.1.2 (Jul 10, 2025)* : 1. Added boundary check where an insertion is immediately followed by a soft-clipping ([#394](https://github.com/HKU-BAL/Clair3/issues/394), co-contributor @[Devon Ryan](https://github.com/dpryan79)) 2. Added exit code checking for all parallel jobs. The pipeline now immediately exits when encountering any job failure ([#392](https://github.com/HKU-BAL/Clair3/issues/392), co-contributor @[Sam Nicholls](https://github.com/SamStudio8)).
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*v1.1.1 (May 19, 2025)* : 1. Fixed the malformed VCF header issue that occurred specifically in AWS cloud environments([#380](https://github.com/HKU-BAL/Clair3/issues/380)). 2.Added a Clair3 R10.4.1 model fine-tuned on 12 [bacterial genomes](https://elifesciences.org/reviewed-preprints/98300) with improved variant calling performance for bacterial samples. Performance benchmarks and detailed results are documented in our note ["fine-tuning_Clair3_with_12_bacteria_samples"](docs/fine-tuning_Clair3_with_12_bacteria_samples.pdf), (co-contributor @[William Shropshire](https://github.com/wshropshire)) .
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## Installation
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**Clair3 support GPU calling on Linux and Apple macOS (M1/M2/M3 chips) systems. Please refer the [GPU quick start](docs/gpu_quick_start.md) to install and run Clair3 with GPU.**
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### Option 1. Docker pre-built image
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A pre-built docker image is available [here](https://hub.docker.com/r/hkubal/clair3). With it you can run Clair3 using a single command.
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