James Swindell, UGeorgia had a presentation "Evaluating the role of data 
reduction approach on the success rate on Sulfur-SAS phasing for a moderately 
diffracting crystal" at PittCon, Oct 2009, comparing HKL, d*TREK, XDS, Proteum2 
& Mosflm

MfG, rgds,
Eric
Phone:      +49 (721) 50997-5311   /   +31 (15) 2152-501
Mobile:      +49 (173) 7000-615

________________________________
Von: CCP4 bulletin board [mailto:[email protected]] Im Auftrag von Van Den 
Berg, Bert
Gesendet: Freitag, 28. Januar 2011 14:38
An: [email protected]
Betreff: Re: [ccp4bb] Merging data to increase multiplicity

I have heard this before. I'm wondering though, does anybody know of a 
systematic study where different data processing programs are compared with 
real-life, non-lysozyme data?

Bert


On 1/28/11 7:58 AM, "Bosch, Juergen" <[email protected]> wrote:
I was a bit reductive with my statement (iPhone....)
The equation below is suppose to read:
If you have bad data, then you need to process with XDS in order to get the 
maximum out of your data.

Thanks Tim,

Jürgen

-
Jürgen Bosch
Johns Hopkins Bloomberg School of Public Health
Department of Biochemistry & Molecular Biology
Johns Hopkins Malaria Research Institute
615 North Wolfe Street, W8708
Baltimore, MD 21205
Phone: +1-410-614-4742
Lab:      +1-410-614-4894
Fax:      +1-410-955-3655
http://web.mac.com/bosch_lab/ <http://web.me.com/bosch_lab/>

On Jan 28, 2011, at 7:44 AM, Tim Gruene wrote:
Dear Jürgen,

is this an assignment operator or an equal sign? For if it's the latter it could
read that the result of processing data with XDS are bad data, which is rather
rude and probably not what you meant.

Tim

On Fri, Jan 28, 2011 at 06:55:43AM -0500, Jürgen Bosch wrote:
Bad data = processing with XDS

Jürgen

......................
Jürgen Bosch
Johns Hopkins Bloomberg School of Public Health
Department of Biochemistry & Molecular Biology
Johns Hopkins Malaria Research Institute
615 North Wolfe Street, W8708
Baltimore, MD 21205
Phone: +1-410-614-4742
Lab:      +1-410-614-4894
Fax:      +1-410-955-3655
http://web.mac.com/bosch_lab/

On Jan 28, 2011, at 6:46, José Trincão <[email protected]> wrote:
Hello all,
I have been trying to squeeze the most out of a bad data set (P1, anisotropic, 
crystals not reproducible). I had very incomplete data due to high mosaicity 
and lots of overlaps. The completeness was about 80% overall to ~3A. Yesterday 
I noticed that I could process the data much better fixing the mosaicity to 0.5 
in imosflm. I got about 95% complete up to 2.5A but with a multiplicity of 1.7. 
I tried to integrate the same data fixing the mosaicity at different values 
ranging from 0.2 to 0.6 and saw the trend in completeness, Rmerge and 
multiplicity.
Now, is there any reason why I should not just merge all these together and 
feed them to scala in order to increase multiplicity?
Am I missing something?

Thanks for any comments!

Jose


José Trincão, PhD    CQFB@FCT-UNL
2829-516 Caparica, Portugal

"It's very hard to make predictions... especially about the future" - Niels Bohr

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