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Computational Non-coding RNA Biology is a resource for the computation of non-coding RNAs. The book covers computational methods for;
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Hybridization, non-coding RNAs, computational RNA biology, transcriptomes and bioinformatics, along with the latest advances in methods and protocols;
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prospects. It is particularly useful for researchers and students in the field of non-coding RNA and cardiovascular biology, as well as for;
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structure and metabolism. Up to 98% of the human genome is non-coding and produces so-called long non-coding RNA. Some of these non-coding RNA play;
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This contributed volume offers a comprehensive and detailed overview of the various aspects of long non-coding RNAs and discusses their;
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of non-coding RNA and bone development, how 2) microRNAs and 3) long noncoding RNAs (LncRNAs) regulate bone formation, 4) how ncRNAs and the;
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theorems * computational biology of pseudo-knotted RNA structures, including dynamic programming paradigms and a new folding algorithm;
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applications, hammerhead ribozyme structure and function as well as non-coding RNAs are also discussed. The authors are internationally highly;
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This book presents current research in the study of new technologies, developments and applications of microRNA and non-coding RNA. Topics;
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offers a comprehensive view on our current understanding of these regulatory RNAs viz. siRNA, miRNA, piRNA, snoRNA, long non-coding RNA, small;
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genesis and biological applications of locked nucleic acid (LNA) small non-coding RNA in bacteria microRNA-guided gene silencing nucleic acids;
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biology texts, adopting instead a modern approach in both concept and scope. The text is divided into three parts, on mRNA, non-coding RNA, and;
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Bioinformatics seeks to aid scientists in the further study of bioinformatics and computational biology of RNA.;
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time. Throughout the text, new material has been included - particularly in relation to RNA binding domains, non-coding RNAs, and the;
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T and/or DC cell function, this extensive volume brings together the fields of coding (mRNA) and non-coding RNA such as ribozymes, RNAse P;
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Bioinformatics and Computational Biology is a compendium of articles and papers that were presented at BIOCOMP '13, an international;
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functional genomics of plant coding and non-coding genes. It focuses on the latest as well as classical RNA-based techniques used for studies on;
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Non-coding, inhibitory microRNAs have emerged as important modulators of cellular gene expression, through a process called RNA;
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, advancing strategies for exploring RNA and its functions. It emphasizes the interplay between biology, chemistry, genomics, and molecular biology;
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examines the potential applications of RNA sequencing and non-coding RNA profiling to identify the pathogenesis. Lastly, it offers the current;
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through the lens of computational and systems biology. It uses in-depth examples from genomics, phylogenetics, RNA, protein folding, network;
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Proceedings of The 2009 International Conference on Bioinformatics and Computational Biology in Las Vegas, NV, July 13-16, 2009. Recent;
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and the diversification of life on earthOffers a conceptual understanding of biology, evolution, protein structure, RNA synthesis;
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' untranslated regions (UTRs), introns, and exons of all protein-coding genes. RNA elements in 5' and 3' UTRs are frequently involved in targeting RNA to;
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of regulatory RNA elements for the many different areas of cellular life.The computational and experimental methods and tools to search for new;
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diverse range of viruses, including positive and negative sense RNA viruses, DNA viruses, and a vector-borne virus. The roles of non-coding RNAs;
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There is now compelling evidence that the complexity of higher organisms correlates with the relative amount of non-coding RNA rather than;
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