#### [__LocScale__](LocScale) - local sharpening based on reference-based amplitude scaling
#### The program is available [here] (https://git.embl.de/jakobi/LocScale/tree/master/download) for download.
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[//]:#(#### [__LocRes__](LocRes) - local resolution estimation based on windowed FSC calculation)
[//]:#([__LocFSC__](LocFSC) - local model validation based on FSC<sub>ref</sub> calculations)
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@@ -23,6 +18,25 @@ To reliably reflect the required level of local sharpening and local resolution
LocScale is written in [Python](https://www.python.org/) and in part based on libraries from [SPARX](http://sparx-em.org) and [CCTBX](https://github.com/cctbx/cctbx_project).
LocScale is dependent on [NumPy and SciPy](http://www.numpy.org/) and [mpi4py](http://pythonhosted.org/mpi4py/).
## Installation
To run on multiple CPUs in parallel, LocScale uses MPI for distributed-memory parallelisation. Execution of the MPI-parallelized version requires installation of an MPI implementation (e.g. [openMPI](http://www.open-mpi.de/)) on your system.
LocScale needs [mpi4py](http://pythonhosted.org/mpi4py/) to interface with the MPI implementation Please check with your system administrator or see [here](mpi4py_installation) for details how to set up [mpi4py](http://pythonhosted.org/mpi4py/) in your environment.
##### The program and associated utils are available [here] (https://git.embl.de/jakobi/LocScale/tree/master/download) for download.
## Documentation
##### Please see the Wiki pages for
-[Generation of reference map](Model_map_generation)
-[Generation of LocScale maps](Locscale)
#### [__LocScale__](LocScale) - local sharpening based on reference-based amplitude scaling
#### The program is available [here] (https://git.embl.de/jakobi/LocScale/tree/master/download) for download.
<br>
LocScale
## References
[[1]](https://doi.org/10.1101/121913) Jakobi et al. bioRxiv 121913 (2017)