We assume at the moment that the setup will be extremely similar (identical?) to last years workshop: so check here for the moment.

Content:


Introduction

Here are some maybe more site-specific notes for the [DLS-CCP4 Data Collection and Structure Solution Workshop www.ccp4.ac.uk/schools/DLS-2018/index.php] held at Diamond in December 2018.


Running jobs

Our software is usually driven by commands within a terminal (shell) - although there is a task for running autoSHARP within the CCP4i (not CCP4i2). We recommend using that command-line interface, since it gives you full access to all features and tools of our software packages. Once you get used to this way of running programs it will become a very powerful way of running different programs (or different trials) on a large number of datasets.

You should be able to run jobs exactly as they are presented on the tutorial pages (for SHARP/autoSHARP or autoPROC) and described on the reference cards (autoSHARP, autoPROC) and in the manuals (SHARP/autoSHARP, autoPROC).


Examples

You could run experimental phasing with the data you collected during the workshop. Or have a look at the examples we provide here: just pick one of those examples - maybe one that will run quite quickly - and see what steps the program is performing. You could also pick just one of the various wavelength datasets for the MAD examples: some will work even with a single wavelength (SAD), while some might not work as well. Why is that?

A good way of getting started is to run

run_autoSHARP.sh -h

to get a help message. At the end it will show some example commands for typical situations (SAD, MAD, SIRAS, partial model etc) that you should be able to easily adapt to your situation. Please note that