PostDoctoral Position in GPCR Structural Biology at USC, Los Angeles
The position is available starting immediately in the Department of Biological
Sciences at the University of Southern California and is initially limited to 2
years, with possible extension.
Our research focuses on the struc
If I may add to that: Please deposit the full dataset, not just the set of reflections you end up using. This allows people to use all the data if they are interested.Cheers,RobbieOn 17 Apr 2024 22:35, "Hekstra, Doeke Romke" wrote:
Hi Matt,
I appreciate disagreement and comments from colleagues
Thanks Doeke (and others who have replied directly). I suppose my big
concern with just truncating the data after merging would be the bin
size/data processing statistics. If the edge/corner is binned 10x and I
end up removing 5 of the bins by truncating the resolution post-merging,
the Table 1 r
Hi Matt,
I appreciate disagreement and comments from colleagues. My two cents are that
it seems unnecessary to repeat scaling and merging, or any earlier step. If you
want to remove structure factor amplitudes or merged intensities from the MTZ
file you can do so using MTZUTILS or similar funct
Sure thing.
A former student left somewhere between 30-50 datasets but they scaled the
data to the detector corners (or maybe edge) in HKL2000. There are many of
the high-resolution bins with no reflections in them. He then went forward
and merged this data, presumably in HKL2000 again and did h
L pm xzx
Have a grea lol
On Wednesday, April 17, 2024, 1:59 PM, Hekstra, Doeke Romke
wrote:
Hi Matt,
It would be helpful if you could describe your case in more detail. Do you want
to change the resolution cutoff after scaling? Do you want to keep more data?
Fewer? Or do you mean something
Hi Matt,
It would be helpful if you could describe your case in more detail. Do you want
to change the resolution cutoff after scaling? Do you want to keep more data?
Fewer? Or do you mean something different such as truncation to generate
amplitudes, application of anisotropic resolution cutof
Hi all,
I am looking at a old students data and it looks like they didn't properly cut
off the data during scaling. All of the files I have appear to be the merged
.sca (or mtz after converting with scalepacktomtz) - is there a way to
retruncate the data after merging or do I have to reprocess
Dear Colleages,
I draw to your attention the following announcement from Arie van der Lee,
ECA vicepresident, as there are new, less well known additions. An
education prize in the name of Lodovico da Riva Sanseverino, of whom so
many of us keep fond and grateful memories for the role the Erice
Cr
good detective work indeed!
Kay
On Tue, 16 Apr 2024 14:40:15 +0100, Yehudi BLOCH
wrote:
>Dear Adewumi
>
>I'm afraid the 85% complete dataset is a contaminant as well.
>PDB 2r6s and related entries for E.coli Gab protein have near identical unit
>cell parameters. The autoprocessed (?) .mtz file
10 matches
Mail list logo
