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DNA, Amino Acid and RNA Tests
Home Page: http://biowiki.org/DART
License: GNU General Public License v2.0
This project forked from ihh/dart
DNA, Amino Acid and RNA Tests
Home Page: http://biowiki.org/DART
License: GNU General Public License v2.0
DART: DNA/Amino/RNA Tests =============================================================================== The primary documentation for DART is on biowiki.org: http://biowiki.org/DART See in particular the pages listed in doc/index.html =============================================================================== INSTALLATION ============ Type "./configure; make all". See INSTALL file for more info. =============================================================================== NOTES ===== DART is a collection of application programs for doing probabilistic bioinformatics using evolutionary models and stochastic grammars. As well as the primary packages (Handel, Stemloc, XRate etc), DART contains various utilities related to the primary datatypes: DNA, RNA and protein sequence. The package was mostly written by Ian Holmes <[email protected]> with contributions by Gerton Lunter, Oscar Westesson, Rob Bradley, Lars Barquist, and others. For a full list of contributors see http://biowiki.org/dart Some free packages from external sources are included in the distribution: dart/src/newmat [Newmat, by RB Davies] dart/src/randlib [randlib, from UTexas Biomath dept] dart/src/Weighbor [Weighbor, by Bill Bruno & Nick Socci] dart/src/util/Regexp.* [regexp library by Henry Spencer & others] DART is released under the GNU Public License (GPL). =============================================================================== Supported packages ================== xrate: A package for training phylo-grammars using EM, and applying them to annotate alignments. handalign: phylogenetic multiple alignment software. stemloc: comparative RNA structure-finder using accelerated pairwise stochastic context-free grammars. evoldoer: pairwise RNA alignment using an evolutionary model. protpal: approximate phylogenetic alignment using sequence profiles. Also included are various bioinformatics tools, tests and algorithms. Longer (but not by much) package descriptions ============================================= ** xrate This is a package for training & annotation using phylogrammars. See the following URL for documentation: http://biowiki.org/XRATE ** handalign This is a package for inferring multiple sequence alignment, phylogeny, and ancestral sequences, under an evolutionary model for substitutions and indels. Since it uses a probabilistic (MCMC) approach, as well as "greedy" heuristics (progressive alignment etc), the program can generate suboptimal alignments as well as looking for the best alignment. See the following URL for more info: http://biowiki.org/HandAlign ** stemloc This is a program for finding conserved motifs in RNA sequences, using pairwise stochastic context-free grammars. The algorithm simultaneously aligns and folds multiple RNA sequences, and may be viewed as a constrained (and so accelerated) version of the dynamic programming method of Sankoff et al. Due to the probabilistic nature of the approach, the program can be "trained" directly from data, without the need for expert knowledge to set the parameters. See the following URL for a tutorial: http://biowiki.org/StemLoc ** evoldoer Like stemloc, this is an RNA alignment program, but it only does pairwise alignments, not multiple alignments. It is however fully based on an evolutionary model for RNA structure, called the TKF Structure Tree (TKFST), based on the TKF91 model. TKFST models indels of whole substructures as well as point (base) substitutions & indels and covariant (basepair) substitutions & indels. See the following URL for more info: http://biowiki.org/EvolDoer ** protpal Program for approximate statistical alignment and reconstruction. Uses progressive alignment and sequence profile transducers. See the following URL for more info: http://biowiki.org/ProtPal REFERENCES ========== For references see the following URL: http://biowiki.org/PaperArchive
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