Titlebook: Combinatorial Computational Biology of RNA; Pseudoknots and Neut Christian Reidys Book 2011 Springer Science+Business Media, LLC 2011 compu

Perforation

書目名稱Combinatorial Computational Biology of RNA影響因子(影響力)




書目名稱Combinatorial Computational Biology of RNA影響因子(影響力)學(xué)科排名




書目名稱Combinatorial Computational Biology of RNA網(wǎng)絡(luò)公開度




書目名稱Combinatorial Computational Biology of RNA網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Combinatorial Computational Biology of RNA被引頻次




書目名稱Combinatorial Computational Biology of RNA被引頻次學(xué)科排名




書目名稱Combinatorial Computational Biology of RNA年度引用




書目名稱Combinatorial Computational Biology of RNA年度引用學(xué)科排名




書目名稱Combinatorial Computational Biology of RNA讀者反饋




書目名稱Combinatorial Computational Biology of RNA讀者反饋學(xué)科排名

帶來

NA.Motivating introductory chapter.Includes supplementary maIn this monograph, new combinatorial and computational approaches in the study of RNA structures are presented which enhance both mathematics and computational biology. It begins with an introductory chapter, which motivates and sets the ba

Stress-Fracture

GRATE

Neutral networks,]. In [71] data on sequence to structure maps into RNA pseudoknot structures based on . are being presented. The above papers allow to contrast the random graph model with biophysical folding maps. Our presentation is based on the papers [105, 102, 103, 106].

Cytokines

https://doi.org/10.1007/978-3-642-68278-0Almost three decades ago Michael Waterman pioneered the combinatorics and prediction of the ribonucleic acid (RNA) secondary structures, a rather non-mainstream research field at the time.

Pillory

Pillory

Perceive

https://doi.org/10.1007/978-3-642-68278-0In this chapter we develop the theory of .-noncrossing and .-noncrossing, .-canonical structures. We derive their generating functions and obtain their singularity analysis, which produces simple, asymptotic formulas for the numbers of various types of k-noncrossing s-canonical structures.

Alopecia-Areata

https://doi.org/10.1007/978-3-642-68280-3In this section we prove that .-noncrossing RNA structures can be generated efficiently with uniform probability. The results presented here are derived from [26] and are based on Section 2.1.

delusion