Dear AMBER users,
The NGLView developers are very excited to announce the release of a new
NGLView version (v0.5.1) for interactive trajectory visualization in
Jupyter notebooks.
*Documentation*: http://arose.github.io/nglview/latest/index.html
*Why NGLView?*
NGLView gives you quick access to the trajectories you are analyzing inside
of Jupyter notebooks (
http://jupyter.org/).
*Highlights:*
* Supports various file formats (.nc, .dcd, .pdb, .mol2, …), including
density volumes (MRC/MAP/CCP4, DX/DXBIN, CUBE)
* Uses cpptraj (via its Python interface, pytraj) and ParmEd as two of
NGLView’s backends for trajectory loading
* Uses WebGL for GPU supported rendering
* User interaction (mouse picking, selection language, image export)
* Supports remote visualization via SSH port forwarding
* Scalability: works well for 100-200K atom system
* Convenient atom selection language
* High resolution screenshots
*Installation (for AMBER users):*
amber.conda install nglview -c ambermd
(please see Amber16 manual, “2.2. Python in Amber” (page 26) for further
information).
*AMBER tutorials:*
http://ambermd.org/tutorials/analysis/tutorial_notebooks/nglview_notebook/
http://ambermd.org/tutorials/#pytraj
*Try NGLView online (with preinstalled pytraj/cpptraj)*
http://mybinder.org/repo/hainm/nglview-notebooks
* <
http://mybinder.org/repo/hainm/nglview-notebooks>*
*Questions?*
Feel free to ask questions and make suggestions on github:
https://github.com/arose/nglview/issues
Cheers
The NGLView developers
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Received on Tue Jun 14 2016 - 11:30:02 PDT
