Commit graph

13 commits

Author SHA1 Message Date
joerg
e209761d06 Remove @dirrm entries from PLISTs 2009-06-14 17:28:16 +00:00
jlam
075003a60c Mechanical changes to add full DESTDIR support to packages that install
their files via a custom do-install target.
2008-03-03 00:51:43 +00:00
wiz
601583c320 Whitespace cleanup, courtesy of pkglint.
Patch provided by Sergey Svishchev in private mail.
2007-02-22 19:26:05 +00:00
schwarz
54b2ba0a41 uses both C and C++ 2006-02-26 13:44:02 +00:00
jlam
81edaaa606 Create directories before installing files into them. 2005-06-16 06:57:37 +00:00
rillig
f795c2e475 Removed trailing white-space. 2005-05-23 08:26:03 +00:00
tv
f816d81489 Remove USE_BUILDLINK3 and NO_BUILDLINK; these are no longer used. 2005-04-11 21:44:48 +00:00
agc
6fa3382159 Add RMD160 digests in addition to the SHA1 ones. 2005-02-22 21:28:55 +00:00
ben
72d33fb01b 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.
2004-08-19 16:47:01 +00:00
snj
847fda614b Convert to buildlink3. 2004-04-11 03:50:56 +00:00
agc
dc52048e01 Move WRKSRC definition away from the first paragraph in a Makefile. 2004-01-20 12:07:06 +00:00
jschauma
7e5f7ad7b8 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).
2003-10-07 18:20:15 +00:00
jschauma
b92c4d6b4b 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.
2003-09-30 02:11:06 +00:00