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DTSTAMP:20260704T225516Z
UID:325765b3-99f4-4aaf-8f1f-97d5bbd92f7a
DTSTART:20210526T110000Z
DTEND:20210528T160000Z
DESCRIPTION:Would you like to make the analysis of your simulation data muc
 h easier and repeatable\, and even be able to run it efficiently on a supe
 rcomputer?\n\nMDAnalysis is an object-oriented Python library that will as
 sist you in the analysis of trajectories from molecular dynamics (MD) simu
 lations in many popular formats. It can write most of these formats\, too\
 , together with atom selections suitable for visualization or native analy
 sis tools.\n\nWhat?\n\nIn this course you will:\n\n- Learn how MDAnalysis 
 works directly from the development team of the library!\n\n- Make use of 
 the library functions to design your own tasks and facilitate your everyda
 y work\n\n- Test the efficiency of running post-processing in a supercompu
 ter\n\nWho?\n\n- Everyone interested in learning how to make efficient pre
 - and post-processing of simulation data\, particularly for molecular dyna
 mics (MD)\n\nRequirements:\n\n- Basic knowledge of Linux\n\n- Basic knowle
 dge of Python and use of Jupyter notebooks\n\nYou should have:\n\n- Your o
 wn laptop with an up-to-date browser\n\nAcknowledgment:\n\nThis course is 
 kindly provided by the development team of MDAnalysis.\nhttps://events.pra
 ce-ri.eu/event/1201/
SUMMARY:[ONLINE] Using MDAnalysis for Efficient Simulation Pre- and Post-Pr
 ocessing @SURF
URL;VALUE=URI:https://events.prace-ri.eu/event/1201/
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