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Автор Chen, Jih-H.
Автор Le, Shu-Yun
Автор Shapiro, Bruce
Автор Currey, Kathleen M.
Автор Maizel, Jacob V.
Дата выпуска 1990
dc.description In our recent series of papers, we have used the structures of statistical significance from Monte Carlo simulations to improve the predictions of secondary structure of RNA and to analyze the possible role of locally significant structures in the ljfe cycle of human immunodeficiency virus. Because of intensive computational requirements for Monte Carlo simulation, it becomes impractical even using a supercomputer to assess the significance of a structure with a window size > 200 along an RNA sequence of 1000 bases or more. In this paper, we have developed a new procedure that drastically reduces the time needed to assess the significance of structures. In fact, the efficiency of this new method allows us to assess structures on the VAX as well as the CRAY
Формат application.pdf
Издатель Oxford University Press
Копирайт / Oxford University Press
Тема ORIGINAL PAPERS
Название A computational procedure for assessing the significance of RNA secondary structure
Тип research-article
Electronic ISSN 1367-4811
Print ISSN 1367-4803
Журнал Bioinformatics
Том 6
Первая страница 7
Последняя страница 18
Аффилиация Laboratory of Mathematical Biology, Division of Cancer Biology and Diagnosis, National Cancer Institute, National Institutes of HealthBldg. 469, Rm, 151, Frederick, MD 21701
Аффилиация Chen Jih-H.; Advanced Scientific Computing Laboratory, Program Resources, Inc.
Выпуск 1

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