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/
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Summary of Proposed Changes Step 2: Review list of proposed attribute addition(s) and subtraction(s).
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Summary of Proposed Changes Current Citations/Applications
[Pubmed ID: 9545448 ],
Stoye J, Evers D, Meyer F ,
Rose: generating sequence families. ,
Bioinformatics ,
01-01-1998 ,
https://www.ncbi.nlm.nih.gov/pubmed/?term=9545448, Primary Citation
[Pubmed ID: 36360242 ],
Lipták P, Kiss A, Szalai-Gindl JM ,
Heuristic Pairwise Alignment in Database Environments. ,
Genes (Basel) ,
11-02-2022 ,
https://www.ncbi.nlm.nih.gov/pubmed/?term=36360242, , Application
[Pubmed ID: 37128578 ],
Park M, Warnow T ,
HMMerge: an ensemble method for multiple sequence alignment. ,
Bioinform Adv ,
04-17-2023 ,
https://www.ncbi.nlm.nih.gov/pubmed/?term=37128578, , Application