Random model of sequence evolution Long Description (required) Rose implements a new probabilistic model of the evolution of RNA-, DNA-, or protein-like sequences. 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. http://bibiserv.techfak.uni-bielefeld.de/rose/ Step 1: Use the attribute tree to add new attributes or remove pre-selected attributes to describe the simulator. Every sub-attribute is selected Not all sub-attributes are selected Fill Clear Expand Collapse Reset Summary of Proposed Changes Step 2: Review list of proposed attribute addition(s) and subtraction(s). Can't Find the Attribute You Are Looking For?
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Additional Comment box of the Submit tab. Summary of Proposed Changes Current Citations/Applications
Rose: generating sequence families. Bioinformatics,
https://www.ncbi.nlm.nih.gov/pubmed/?term=9545448, Primary Citation