EvoRSR: an integrated system for exploring evolution of RNA structural   robustness

doi:10.1186/1471-2105-10-249

CORC > 北京大学 > 生命科学学院

	EvoRSR: an integrated system for exploring evolution of RNA structural robustness
	Shu, Wenjie ; Ni, Ming ; Bo, Xiaochen ; Zheng, Zhiqiang ; Wang, Shengqi
刊名	bmc bioinformatics
	2009
关键词	SILICO PREDICTED ROBUSTNESS SECONDARY STRUCTURES GENETIC ROBUSTNESS LANDSCAPES MUTATIONS MICRORNA DOMINANCE SEQUENCES
DOI	10.1186/1471-2105-10-249
英文摘要	Background: Robustness, maintaining a constant phenotype despite perturbations, is a fundamental property of biological systems that is incorporated at various levels of biological complexity. Although robustness has been frequently observed in nature, its evolutionary origin remains unknown. Current hypotheses suggest that robustness originated as a direct consequence of natural selection, as an intrinsic property of adaptations, or as a congruent correlate of environment robustness. To elucidate the evolutionary origins of robustness, a convenient computational package is strongly needed. Results: In this study, we developed the open-source integrated system EvoRSR (Evolution of RNA Structural Robustness) to explore the evolution of robustness based on biologically important landscapes induced by RNA folding. EvoRSR is object-oriented, modular, and freely available at http://biotech.bmi.ac.cn/EvoRSR under the GNU/GPL license. We present an overview of EvoRSR package and illustrate its features with the miRNA gene cel-mir-357. Conclusion: EvoRSR is a novel and flexible package for exploring the evolution of robustness. Accordingly, EvoRSR can be used for future studies to investigate the evolution and origin of robustness and to address other common questions about robustness. While the current EvoRSR environment is a versatile analysis framework, future versions can include features to enhance evolutionary studies of robustness.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000269422600001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Biochemical Research Methods; Biotechnology & Applied Microbiology; Mathematical & Computational Biology; SCI(E); 0; ARTICLE; 10
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/245936]
专题	生命科学学院
推荐引用方式 GB/T 7714	Shu, Wenjie,Ni, Ming,Bo, Xiaochen,et al. EvoRSR: an integrated system for exploring evolution of RNA structural robustness[J]. bmc bioinformatics,2009.
APA	Shu, Wenjie,Ni, Ming,Bo, Xiaochen,Zheng, Zhiqiang,&Wang, Shengqi.(2009).EvoRSR: an integrated system for exploring evolution of RNA structural robustness.bmc bioinformatics.
MLA	Shu, Wenjie,et al."EvoRSR: an integrated system for exploring evolution of RNA structural robustness".bmc bioinformatics (2009).