New Release of ROSE - Random-model Of Sequence Evolution

Jens Stoye stoye at harry.molgen.mpg.de
Fri May 18 04:31:57 EST 2001


       New Release of ROSE - Random-model Of Sequence Evolution

We are pleased  to announce that release 1.2 of  Rose is now available
on the Bielefeld Bioinformatics Server.  Rose implements probabilistic
models  of RNA, DNA,  and protein  sequence evolution  via insertions,
deletions and  substitutions.  The source code is  published under the
GPL.

New Features:
- Standard DNA evolution models (JC, HKY, F81, F84, K2P)
- multiple runs, single invocation
- FASTA or PHYLIP output formats

  Rose Copyright (c) 1997-2001 University of Bielefeld, Germany and
     Deutsches Krebsforschungszentrum (DKFZ) Heidelberg, Germany.

			   Rose 1.2 Website
	    http://bibiserv.TechFak.Uni-Bielefeld.DE/rose/

			  Rose 1.2 Download
	      http://BiBiServ.TechFak.Uni-Bielefeld.DE/
	     cgi-bin/bibi_download?tool=rose&version=1.2

			       Authors
	   Jens Stoye (1), Dirk Evers (2), Folker Meyer (3)

(1) Max Planck  Institute (MPI) for  Molecular Genetics, Computational
Molecular  Biology,  Berlin,   Germany;  (2)  Faculty  of  Technology,
University  of Bielefeld,  Germany;  (3) Center  for Genome  Research,
University of Bielefeld, Germany

About Rose:
Guided  by an  evolutionary tree,  a  family of  related sequences  is
created  from a common  ancestor sequence  by insertion,  deletion and
substitution  of  characters.   During  this  artificial  evolutionary
process,  the `true'  history  is logged  and  the `correct'  multiple
sequence alignment  is created  simultaneously. The model  also allows
for varying rates of mutation within the sequences, making it possible
to establish so-called sequence motifs.   The data created by Rose are
suitable for the evaluation  of methods in multiple sequence alignment
computation and  the prediction of phylogenetic relationships.  It can
also  be useful  when  teaching  courses in  or  developing models  of
sequence evolution and in the study of evolutionary processes.

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Jens Stoye                                         phone: +49-30-8413-1352
Max Planck Institute for Molecular Genetics          fax: +49-30-8413-1152
Computational Molecular Biology
Ihnestr. 73
14195 Berlin                                           stoye at molgen.mpg.de
Germany                               http://www.dkfz.de/tbi/people/stoye/
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