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Jeff Tan

User: Jeff Tan

Name: Jeff Tan

Joined: Thursday 23 July 2009 @ 00:15:12 (EST)

Last seen: Thursday 04 March 2010 @ 15:36:09 (EST)

Email (public): jefferson.tan [at] infotech.monash.edu.au

Website: http://www.csse.monash.edu.au/~jtan

Location: Melbourne, VIC, Australia

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Jeff Tan has been credited 3 times

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Other contact details:

+61 3 99031172

Interests:

Distributed, grid, high-performance computing;
Network management;
Systems administration.

Field/Industry: I.T./Academia

Occupation/Role(s): Lecturer and systems administrator

Organisation(s):

Monash University

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Kepler

Original Uploader

Jeff Tan

TIF to PNG conversion (v1)

Created: 04/03/10 @ 15:42:35 | Last updated: 04/03/10 @ 16:13:40

Credits: Jeff Tan

License: Creative Commons Attribution-Share Alike 3.0 License

[Courtesy of ABM Russel:] This is a simple workflow that convert microscopy image (TIF) into PNG image and display it. Change the path of image location in the workflow string before the run.

Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0

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Nimrod Parameter Sweep

Original Uploader

Jeff Tan

group difference pseudopotential (v1)

Created: 29/07/09 @ 10:45:33

Credits: Jeff Tan

License: Creative Commons Attribution-Share Alike 3.0 License

This is a Nimrod plan file for a parameter scan of a group difference pseudopotential (GDP). This is the initial step in "paremeterization of a capping atom for hybrid quantum mechanics-molecule mechanics (QM/MM) calculations." Based on paper by Sudholt, W., Baldridge, K., Abramson, D., Enticott, C. and Garic, S., “Application of Grid computing to parameter sweeps and optimizations in molecular modeling”, Future Generation Computer Systems, 21 (2005), 27-35. Also appeare...

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Nimrod Parameter Sweep

Original Uploader

Jeff Tan

Automatic Protein-Ligand Docking (v1)

Created: 29/07/09 @ 10:35:01 | Last updated: 29/07/09 @ 10:35:35

Credits: Jeff Tan

License: Creative Commons Attribution-Share Alike 3.0 License

Nimrod harnesses grid-based high-performance computing resources to evaluate a n umber of protein-ligand interaction algorithms. Different computational chemistry approaches are combined with non-linear optimization algorithms. This work is explained in Abramson, D. A., Amoreira, C., Baldridge, K. K., Berstis, L., Kondrick, C., Peachey, T. C., 2006, "A flexible grid framework for automatic protein-ligand docking", Proceedings of the Second IEEE International Conference on e-Science...

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