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(this page)| 2006-02-26 14:44:02 by Georg Schwarz | Files touched by this commit (1) |
Log message: uses both C and C++ |
| 2005-06-16 08:58:08 by Johnny C. Lam | Files touched by this commit (465) |
Log message: Create directories before installing files into them. |
| 2005-05-23 10:26:17 by Roland Illig | Files touched by this commit (270) |
Log message: Removed trailing white-space. |
| 2005-04-11 23:48:17 by Todd Vierling | Files touched by this commit (3539) |
Log message: Remove USE_BUILDLINK3 and NO_BUILDLINK; these are no longer used. |
| 2005-02-22 22:28:56 by Alistair G. Crooks | Files touched by this commit (20) |
Log message: Add RMD160 digests in addition to the SHA1 ones. |
| 2004-08-19 18:47:01 by Ben Collver | Files touched by this commit (2) |
Log message:
Update to glimmer-2.13, thanks to cngo@nmsu.edu.
CHANGELOG, 12 October 2003
add -X option to glimmer2, to allow orfs extending off ends of
sequence to be scored. Also fix bug affecting -p and -o options
when user chose zero overlap.
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| 2004-04-11 06:02:23 by Soren Jacobsen | Files touched by this commit (1) |
Log message: Convert to buildlink3. |
| 2004-01-20 13:08:40 by Alistair G. Crooks | Files touched by this commit (15) |
Log message: Move WRKSRC definition away from the first paragraph in a Makefile. |
2003-10-07 20:20:16 by Jan Schaumann | Files touched by this commit (4) |  |
Log message: Apply patches from Tyler Retzlaff in PR pkg/23083 to make this behave with gcc3. While here, update to version 2.12 (previous version was erraneously named 2.1, when it should have been 2.10) which is the only distfile available on the ftp site. Changelog seems to say: - Fix bug on long-orfs.cc to avoid occasional array out-of-bounds error (detected on Mac OS X). |
2003-09-30 04:11:06 by Jan Schaumann | Files touched by this commit (5) |  |
Log message: Initial import of glimmer, one of the many packages provided by brook at biology dot nmsu dot edu and his team at NMSU. Glimmer (Gene Locator and Interpolated Markov Modeler) is a system for finding genes in microbial DNA, especially the genomes of bacteria and archaea. Glimmer uses interpolated Markov models (IMMs) to identify the coding regions and distinguish them from noncoding DNA. The IMM approach uses a combination of Markov models from 1st through 8th-order, weighting each model according to its predictive power. |
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