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scientific-visualization
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I don't think this is a duplicate ticket, even though it's quite an obvious feature after that cat demo at SciPy2018.
The code that selects and renders the different geos is here in the THREE.js code
https://github.com/maartenbreddels/ipyvolume/blob/master/js/src/scatter.js#L57
I don't know quite where/how to inject the mesh definition compatible with the data file of this form, but i
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.... and that maybe fine.... If you decide this is of no interest, that is very helpful too!
Details:
Structures Models of long transcripts (like Human gene TTN with over 30,000 residues) need residue numbering > 9999
Obviously, MMCIF format is the solution of the RCSB/PDBe
The UCSF Sali Lab Modbase group has adopted hybrid-36 format for these models. I left one of their models here
Support xyz format?
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yt-project / yt
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Hi,
Firstly, thank you for your work on Chart-Fx.
We are currently building an application using the library to display multiple huge datasets.
The library works well for 5 to 10 million points, however our clients would like to display even larger datas, going up to 50 to 100 million points. While it is possible to display such datasets, navigating them become difficult as the application
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Should extend the existing cli/chem-comp-bonds/ script (renamed to chem-comp). Data should go to src\mol-model\structure\model\types\carbohydrates.ts. Include all chemical components with the string 'SACCHARIDE' included in their type (_chem_comp.type). Extract _pdbx_chem_comp_identifier.identifier Will replace CommonSaccharideNames in src\mol-model\structure\structure\carbohydrates\constants.
We currently use CMake 3.9.3, which is quite old. For the latest version of VTKm we need at least CMake 3.12. Matt recommends 3.14 for VTKm. I suspect there are other reasons to upgrade CMake. We should decide on the best version to upgrade to.
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Does CLUST_WTS not exist in GDL or am I missing something?
GDL> array=dist(500)
GDL> weights = CLUST_WTS(array, N_CLUSTERS = 500, n_iter=10)
% Function not found: CLUST_WTS
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Description
The "_opacity" argument for fury.actor.point doesn't seem to work. Manipulating the values for the _opacity doesn't seem to change the opacity of the rendered points.
From what I could figure from the documentation, this occurs as the function which generates the points (fury.actor.point) utilises the sphere function (fury.actor.sphere) in generating the points and the function fo
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Today I was checking out the library and MSVC warns for https://github.com/alandefreitas/matplotplusplus/blob/359a775710e1b1fd5667281a0855806f149b7ab0/source/matplot/util/contourc.cpp#L1771
BOUNDARY_Sreturns abooldo the expression isbool > 0