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author | Wen Heping <wen@FreeBSD.org> | 2012-11-15 07:04:29 +0000 |
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committer | Wen Heping <wen@FreeBSD.org> | 2012-11-15 07:04:29 +0000 |
commit | 2a3cdaf773b056ed1e741d7126ec2bc4557616b6 (patch) | |
tree | 54e3d63be05023ffab4b3dc4bb70cde9cbd55ce9 /biology/lagan/pkg-descr | |
parent | 8a810e1148599d332ee1784105e0439f65ecd8f6 (diff) | |
download | ports-2a3cdaf773b056ed1e741d7126ec2bc4557616b6.tar.gz ports-2a3cdaf773b056ed1e741d7126ec2bc4557616b6.zip |
Notes
Diffstat (limited to 'biology/lagan/pkg-descr')
-rw-r--r-- | biology/lagan/pkg-descr | 33 |
1 files changed, 9 insertions, 24 deletions
diff --git a/biology/lagan/pkg-descr b/biology/lagan/pkg-descr index 33a4aae090be..b7dd5e856977 100644 --- a/biology/lagan/pkg-descr +++ b/biology/lagan/pkg-descr @@ -1,24 +1,9 @@ -The LAGAN Toolkit consists of four components: - - CHAOS, a pairwise local aligner optimized for non-coding, and other - poorly conserved regions of the genome. - - LAGAN, a highly parametrizable pairwise global alignment using local - alignments generated by CHAOS as anchors. - - Multi-LAGAN, a progressive pairwise algorithm to produce multiple - sequence alignments. - - Shuffle-LAGAN, a novel glocal algorithm that is able to find - rearrangements in a global alignment. - -Fast and sensitive multiple alignment of long genomic sequences. BMC -Bioinformatics 2003 4:66. - -LAGAN and Multi-LAGAN: efficient tools for large-scale multiple -alignment of genomic DNA. Genome Res 2003 13(4): 721-31. - -Glocal alignment: finding rearrangements during alignment. Proceedings -of the ISMB 2003, Bioinformatics 19: 54i-62i. - -WWW: http://lagan.stanford.edu/lagan_web/ +The Lagan Tookit is a set of alignment programs for comparative +genomics. The three main components are a pairwise aligner (LAGAN), a +multiple aligner (M-LAGAN), and a glocal aligner (Shuffle-LAGAN). All +three are based on the CHAOS local alignment tool and combine speed +(regions up to several megabases can be aligned in minutes) with high +accuracy. The results of the alignment can be visualized using the VISTA +visualization tool. + +WWW: http://lagan.stanford.edu/ |