Thanks to Pavel's suggestion,
I was able to calculate the overall mean weighted phase error
between to sets of phases in miller_arrays 2 and 5. I am stumped on how to
retrieve the mean weighted phase error by resolution bin.
#! /usr/bin/env cctbx.python
import sys
import iotbx
mtz_filename = sys.argv[1]
mtz_file = mtz.object(mtz_filename)
miller_arrays = mtz_file.as_miller_arrays()
binner=miller_array.setup_binner_d_star_sq_step(d_star_sq_step=0.01)
mwpe = miller_arrays[2].mean_weighted_phase_error(miller_arrays[5])
Best regards,
Blaine
Blaine Mooers, Ph.D.
Assistant Professor
Department of Biochemistry and Molecular Biology
University of Oklahoma Health Sciences Center
S.L. Young Biomedical Research Center Rm. 466
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975 NE 10th Street, BRC 466
Oklahoma City, OK 73104-5419
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Sent: Wednesday, December 03, 2014 2:00 PM
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Subject: cctbxbb Digest, Vol 69, Issue 3
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Today's Topics:
1. Re: computing mean phase error between final refined model
and experimental phases (Pavel Afonine)
----------------------------------------------------------------------
Message: 1
Date: Tue, 02 Dec 2014 12:06:08 -0800
From: Pavel Afonine
Dear CCTBXBB,
I want to compare the phases from the final refined model and a set of experimental phases to calculate the weighted mean phase error.
How do I this using python?
Best regards,
Blaine
Blaine Mooers, Ph.D. Assistant Professor Department of Biochemistry and Molecular Biology University of Oklahoma Health Sciences Center S.L. Young Biomedical Research Center Rm. 466
Shipping address:
office: (405) 271-8300 lab: (405) 271-8313 fax: (405) 271-3910 e-mail: [email protected]
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