Update README.md

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README.md

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 # dimple
 Macromolecular crystallography pipeline for refinement and ligand screening.
 
-Requires several programs from the CCP4 suite.
-
-## How it works ##
-
-You provide data (merged mtz) and Apo model (pdb) and tell the pipeline
-where it should dump the results:
-
-    $ dimple my.mtz apo.pdb output-dir
-
-<a href="https://asciinema.org/a/awgcb045doxjstods15xfqi1r" target="_blank"><img src="https://asciinema.org/a/awgcb045doxjstods15xfqi1r.png" width="589px"/></a>
-
-If you wish you can give more than one model or pdb code
-(only one of them will be used - the one with most similar unit cell):
-
-    $ dimple my.mtz apo.pdb my-other.pdb 4uqi output-dir
-
-DIMPLE will do what it can to quickly return refined model,
-pointing to unmodelled electron density blobs - potential ligand sites.
-
-Simplifying a bit:
-the pipeline runs macromolecular refinement after a few usual
-preparatory steps (I to F, choosing Rfree set, reindexing if needed).
-Sometimes it needs to run Molecular Replacement before refinement.
-And at the end it checks for unmodelled blobs - suspected ligands.
-
-<a href="https://asciinema.org/a/awg0n6qr6ez14oe8ugverg4bb" target="_blank"><img src="https://asciinema.org/a/awg0n6qr6ez14oe8ugverg4bb.png" width="589px"/></a>
-
-It's quick. Running time depends of course on data, model and computer,
-but about 3 minutes is typical. With MR it is usually 5-10 minutes,
-but from time to time much, much longer.
-
-### Options ###
-
-DIMPLE has a lot of options (`dimple -h` lists all of them),
-but since the goal of the pipeline is to make things simple,
-we'll focus on one:
-
- `--slow` (or `-s` for short) -- recommended if you are not in hurry.
-DIMPLE will take twice more time, spending it mostly on extra cycles
-of refinement. If this is still too fast, give this option twice --
-to get 100 cycles of jelly-body refinement.
-
-`-M` is also quite popular. It decides when MR should kick in:
-`-M0` - always, `-M1` - never, `-M 0.4` - (default) if Rfactor after
-rigid-body refinement is above 0.4. Rfactor for this purpose
-is calculated only in data up to 3.5A.
-
-### Selected Details ###
-
-**reindexing (Pointless)** - if the data and model are in compatible
-but different spacegroups, we change the spacegroup in the MTZ file.
-We also check all possible _settings_ - Pointless calculates structure
-factors from the model and compares the CC on E^2 to find the best
-matching settings, reindexing data if necessary.
-In some cases this steps saves as a couple minutes by avoiding MR.
-
-**_free_ reflections** -
-Rfree statistic depend to some degree on how lucky is the pseudo-random
-set of free flags. To eliminate this luck factor when comparing
-different data collection one may want to use the same set of free
-flags. It is possible by passing external set of reference flags
-(option `--free-r-flags`), but we wanted to do even without the
-reference file. This was implemented by generating the same free set
-for the same pdb file and should work if the space group is the same
-and the resolution is below 1A (we had to pick arbitrary limit).
-
-**scoring blobs** - it is rather simplistic now, we need to work on it
-
-**generating pictures** - we have an option (`-f`) to generate static
-images (PNG or JPEG) of the blobs. They are used by
-[SynchWeb](https://github.com/DiamondLightSource/SynchWeb) in DLS.
-Pictures are generated with Coot+Raster3d - this combines
-the familiar look and feel of Coot with nicer graphics and headless
-rendering.
-
-<img src="http://i.imgur.com/cTDWIzK.png" width="300px"/>
-<img src="http://i.imgur.com/e61cB7G.png" width="300px"/>
-
+#### See docs at http://ccp4.github.io/dimple
 
 ## Installation ##