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gpu_isac [2020/08/03 13:46] fschoenfeld |
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===== Overview ===== | ===== Overview ===== | ||
- | Bleuep! | + | **ISAC** (Iterative Stable Alignment and Clustering) is a 2D classification algorithm to sort cryo-EM particles into classes depicting the same view of a target protein. It is based around iterations of alternating equal size k-means clustering and repeated 2D alignment routines. |
- | | + | **ISAC2** is an improved version of ISAC, and the default tool to produce 2D class averages in the **[[http:// |
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- | **ISAC** | + | **GPU ISAC** is designed to run ISAC2 on a single workstation by outsourcing its computationally expensive calculations |
- | alternating equal size k-means clustering and repeated 2D alignment routines. | + | |
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- | **ISAC2** is an improved version of ISAC, and the default tool to produce 2D class averages in the **[[http:// | ||
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- | **GPU ISAC** is designed to run ISAC2 on a single workstation by outsourcing its computationally expensive calculations to any available GPUs. | ||
<note important> | <note important> | ||
- | **Chimera Beta: | + | **Chimera Beta: |
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- | The currently available version of GPU ISAC is a beta version. A significantly improved and significantly faster version is being tested right now and will be released shortly. | + | |
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