A unifying bayesian framework for merging x-ray diffraction data

HIGHLIGHTS

• who: Kevin M. Dalton from the Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA John A. Paulson School of Engineering and Applied Sciences have published the article: A unifying Bayesian framework for merging X-ray diffraction data, in the Journal: (JOURNAL) of 22/Nov/2022
• what: The authors implement this model in an open-source software Careless which performs scaling merging and French-Wilson corrections in a single step by directly inferring structure factor amplitudes from unscaled unmerged intensities. The authors demonstrate that this model can accurately and sensitively extract anomalous signal . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.