[sharp-discuss] does sharp do scaling of datasets?

[Clemens Vonrhein]

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Dan,

the answer is (a helpful): depends. What you want is the correct
scaling. So if things are simple than the scaling in SHARP (scale
factor k and (optionally anisotropic) temperature factor) can do most
of it quite well.

autoSHARP will use the methods in SCALEIT and FHSCAL (both CCP4) -
after applying it's own rejection criteria on the data and possible
outliers.

There are situations where it might be helpful to use more elaborate
scaling methods outside of SHARP: MAD with low redundancy can use
e.g. SCALA on unmerged data. Or you might have your own favourite
local scaling program or ...

So you don't necessarily need to have your data scaled: as long as you
estimate and refine the scale factor (and the temperature factor
unless you have low resolution data) things should be fine.

Hope that helps

Cheers

Clemens

On Thu, May 22, 2003 at 10:27:58AM -0400, Daniel Peisach wrote:
> Assuming that you can't use autosharp to do it for you, is it essential=
=20
> to scale datasets before you run sharp?  Or does the scale-K correct=20
> for this?
>=20
> -Dan
>=20
>=20
> _______________________________________________
> sharp-discuss mailing list
> sharp-discuss@globalphasing.com
> http://www.globalphasing.com/mailman/listinfo/sharp-discuss

--=20

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