I would say - ABSOLUTELY NOT - refinement and map interpretation depend
to a large extent on having decent estimates of low resolution terms.. I
am sure this is just the opposite action that the Arp/Warp team would
recommend?
Eleanor
The Wilson plot commentary is not detailed enough to be helpful I dont
think - some diagonstiics are really useful - it should not increase or
even flaten out at high resln.
It may detect that you have lost some strong low res terms.
But the intermediate shapes seem pretty problem dependent to me, and as
Phil says, perfectly good data sets are often flagged as bad.
Ashley Buckle wrote:
I'd second that (in fact this happened to me today....) - I always
click 'limit res' (eg 8 in this case for the low-res) - should I do
this or should I ignore the warning and not apply a cuttoff (cutting
at worries me)
Ashley
On 17/11/2005, at 10:18 PM, Phil Evans wrote:
I would comment that I have yet to find any dataset, including some
truly excellent ones, which pass the arp/warp Wilson plot test.
Has anyone else found a dataset that is OK according to this test?
Ashley Buckle Ph.D
Research Fellow
The Department of Biochemistry and Molecular Biology
School of Biomedical Sciences, Faculty of Medicine &
Victorian Bioinformatics Consortium (VBC)
Monash University, Clayton, Vic 3800
Australia
http://vbc.med.monash.edu.au/~abuckle
<http://vbc.med.monash.edu.au/%7Eabuckle>
Tel: (613) 9905 3781 (office)
Tel: (613) 9905 1653 (lab)
Mobile: 0400 206069
Fax : (613) 9905 4699
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