.png){kind=icon}
Return
RAGA:RNA sequence alignment by genetic algorithm
.png){kind=icon}
OA
AI
DOI：10.1093/nar/25.22.4570.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
We describe a new approach for accurately aligning two homologous RNA sequences when the secondary structure of one of them is known, To do so we developed two software packages, called RAGA and PRAGA, which use a genetic algorithm approach to optimize the alignments. RAGA is mainly an extension of SAGA, an earlier package for multiple protein sequence alignment, In PRAGA several genetic algorithms run in parallel and exchange individual solutions, This method allows us to optimize an objective function that describes the quality of a RNA pairwise alignment, taking into account both primary and secondary structure, including pseudoknots. We report results obtained using PRAGA on nine test cases of pairs of eukaryotic small subunit rRNA sequence (nuclear and mitochondrial).
Keywords:
SECONDARY STRUCTURE
COMPUTER-SIMULATION
RIBOSOMAL-RNA
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
13.1
Papers:
3.6W
Citations:
29.0W
Organization
No organization information available
Cited Papers
No cited papers available