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Rose: generating sequence families.
Author(s) -
Jens Stoye,
Dorothea Evers,
Folker Meyer
Publication year - 1998
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/14.2.157
Subject(s) - sequence (biology) , phylogenetic tree , computer science , tree (set theory) , multiple sequence alignment , probabilistic logic , mutation , computational biology , sequence alignment , biology , genetics , artificial intelligence , mathematics , peptide sequence , gene , combinatorics
We present a new probabilistic model of the evolution of RNA-, DNA-, or protein-like sequences and a software tool, Rose, that implements this model. 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.

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