Difference between revisions of "PyMol"
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| − | ==== | + | [[http://www.pymol.org PyMol]] "is an open-source, user-sponsored, molecular visualization system .... [it] can produce high-quality 3D images of small molecules and biological macromolecules, such as proteins. According to the original author, almost a quarter of all published images of 3D protein structures in the scientific literature were made using PyMOL." |
| + | |||
| + | |||
| + | ====Type of Data==== | ||
| + | Not surprisingly, given its intended audience, the users are generally viewing molecular structures. Two responses were more specific - protein structures. | ||
| + | |||
| + | ====Size of Data Set==== | ||
| + | Sizes of the data set were not specified. | ||
| + | |||
| + | ====Advantages==== | ||
| + | Advantages listed were: | ||
| + | *free version | ||
| + | *commonly used | ||
| + | *can create high quality output | ||
| + | |||
| + | ====Quality of Documentation/Tutorials==== | ||
| + | The documentation appears to be adequate. Although one user admitted to have not used it. | ||
| + | |||
| + | ====Range of Data Formats==== | ||
| + | |||
| + | ====Level of Support Available==== | ||
| + | Support was acceptable. | ||
| + | |||
| + | ====Performance==== | ||
| + | None of the respondents commented on performance. | ||
| + | |||
| + | ====Limitations==== | ||
| + | One user commented that it could be slow for large data sets. | ||
| + | |||
| + | ====Comments==== | ||
| + | No further comments were given. | ||
Latest revision as of 17:34, 21 November 2014
[PyMol] "is an open-source, user-sponsored, molecular visualization system .... [it] can produce high-quality 3D images of small molecules and biological macromolecules, such as proteins. According to the original author, almost a quarter of all published images of 3D protein structures in the scientific literature were made using PyMOL."
Contents
Type of Data
Not surprisingly, given its intended audience, the users are generally viewing molecular structures. Two responses were more specific - protein structures.
Size of Data Set
Sizes of the data set were not specified.
Advantages
Advantages listed were:
- free version
- commonly used
- can create high quality output
Quality of Documentation/Tutorials
The documentation appears to be adequate. Although one user admitted to have not used it.
Range of Data Formats
Level of Support Available
Support was acceptable.
Performance
None of the respondents commented on performance.
Limitations
One user commented that it could be slow for large data sets.
Comments
No further comments were given.
