Data Reprocessing and User preferences implementation in ISpyB

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Presentation transcript:

Data Reprocessing and User preferences implementation in ISpyB Roeland Boer ISpyB Diamond

Manual reprocessing with Xamurai Data re-processing and phasing pipeline Detection of datasets using directory scans Reprocessing with adjusted basic parameters Automatic download of PDB using codes MR and map visualization Processing and MR in different stages Licensing in MIT (qtpy) or LGPL (PySide) Implement SSX dataset treatment?

User preferences in ISpyB? Default parameters and programs for autoprocessing Different experimental backgrouds: chemists/biologists