On 11/01/11 16:32, Anastassis Perrakis wrote:


An experiment that I would like to do as a structural biologist - is the 
following:
What about adding an "increasing noise" model to the Fobs's of a few datasets
and re-refining?
How much would that noise change the final model quality metrics and in absolute
terms?


The problem is that in practice, errors in the data will arise from systematic errors as James Holton nicely sums up. It is hard to 'model' these. We really need many test cases to improve data processing techniques. An interesting suggestion mentioned along the thread was to create a data base of problematic data, i.e containing non-explained peaks, diffuse streaks and strange reflection profiles etc. Needless to say, developers (and future PDB-REPROCESS initiatives) will benefit from raw data deposition. We will have to establish if it is worth the money and effort to deposit ALL raw data.

Loes.

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Dr. Loes Kroon-Batenburg
Dept. of Crystal and Structural Chemistry
Bijvoet Center for Biomolecular Research
Utrecht University
Padualaan 8, 3584 CH Utrecht
The Netherlands

E-mail : l.m.j.kroon-batenb...@uu.nl
phone  : +31-30-2532865
fax    : +31-30-2533940
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