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- Update to 0.5.2

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Obtained from:	FreeBSD Haskell
This commit is contained in:
Gabor Pali 2012-06-03 22:21:27 +00:00
parent 53b544944c
commit 6c4dafed35
Notes: svn2git 2021-03-31 03:12:20 +00:00 
svn path=/head/; revision=298254
3 changed files with 18 additions and 11 deletions
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9
science/hs-bio/Makefile
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@ -6,18 +6,19 @@
#
PORTNAME= bio
PORTVERSION= 0.5.1
PORTVERSION= 0.5.2
CATEGORIES= science haskell
MAINTAINER= haskell@FreeBSD.org
COMMENT= A Haskell bioinformatics library
COMMENT= A bioinformatics library
LICENSE= LGPL21
CABAL_SETUP= Setup.hs
USE_CABAL= binary>=0.4 mtl parallel parsec QuickCheck>=2 tagsoup>=0.8
EXECUTABLE= fastout flx frecover frename flowclip orf rselect-pe
USE_CABAL= mtl parallel parsec QuickCheck>=2 tagsoup>=0.8
EXECUTABLE= fastout flowclip flx frecover frename orf rselect-pe
.include "${.CURDIR}/../../lang/ghc/bsd.cabal.mk"
.include <bsd.port.mk>

4
science/hs-bio/distinfo
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@ -1,2 +1,2 @@
SHA256 (cabal/bio-0.5.1.tar.gz) = 256e1b34fc0c7fd21b3ec36e1e3903bed2afc56b6a819f26d8368dbea21561a9
SIZE (cabal/bio-0.5.1.tar.gz) = 103846
SHA256 (cabal/bio-0.5.2.tar.gz) = a3e10bef6bfa5187e34bdc1eac7616e7d4ef926173e95b73170f7580bda74070
SIZE (cabal/bio-0.5.2.tar.gz) = 102316

16
science/hs-bio/pkg-descr
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@ -1,7 +1,13 @@
This is a collection of Haskell data structures and algorithms useful
for building bioinformatics-related tools and utilities.
Current list of features includes: a Sequence data type supporting
protein and nucleotide sequences and conversion between them.
This is a collection of data structures and algorithms useful for
building bioinformatics-related tools and utilities. Current list of
features includes: a Sequence data type supporting protein and
nucleotide sequences and conversion between them. As of version 0.4,
different kinds of sequence have different types. Support for quality
data, reading and writing Fasta formatted files, reading TwoBit and phd
formats, and Roche/454 SFF files. Rudimentary (i.e. unoptimized) support
for doing alignments - including dynamic adjustment of scores based on
sequence quality. Also Blast output parsing. Partly implemented single
linkage clustering, and multiple alignment. Reading Gene Ontology (GO)
annotations (GOA) and definitions hierarchy.
WWW: http://biohaskell.org/Libraries/Bio