Titlebook: Bioinformatics in MicroRNA Research; Jingshan Huang,Glen M. Borchert,Bin Wu Book 2017 Springer Science+Business Media LLC 2017 miRNA targe

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书目名称Bioinformatics in MicroRNA Research影响因子(影响力)




书目名称Bioinformatics in MicroRNA Research影响因子(影响力)学科排名




书目名称Bioinformatics in MicroRNA Research网络公开度




书目名称Bioinformatics in MicroRNA Research网络公开度学科排名




书目名称Bioinformatics in MicroRNA Research被引频次




书目名称Bioinformatics in MicroRNA Research被引频次学科排名




书目名称Bioinformatics in MicroRNA Research年度引用




书目名称Bioinformatics in MicroRNA Research年度引用学科排名




书目名称Bioinformatics in MicroRNA Research读者反馈




书目名称Bioinformatics in MicroRNA Research读者反馈学科排名

ACTIN

MicroRNA Expression: Protein Participants in MicroRNA Regulation,iogenesis and function of miRNAs as translational repressors is facilitated by protein counterparts that process primary and precursor miRNAs to maturity (Drosha/DCGR8 and Dicer/TRBP respectively) and incorporate miRNAs into the protein complex RISC to recognize and repress target mRNAs (RISC protei

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Viral MicroRNAs, Host MicroRNAs Regulating Viruses, and Bacterial MicroRNA-Like RNAs, become increasingly apparent that miRNAs have many important roles in the development of disease and cancer. Recently, however, their role in viral and bacterial gene regulation as well as host gene regulation during disease progression has become a field of interest. Due to their small size, miRNA

Mast-Cell

MicroRNAs: Biomarkers, Diagnostics, and Therapeutics,The major regulatory mechanisms include translational repression or mRNA degradation (Filipowicz et al., Curr Opin Struct Biol 15:331–341, 2005)..Aberrant expression of miRNAs has been found to be associated with a variety of human diseases such as cancers/tumors, diabetes, viral infections, cardiov

expunge

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Semantic Technologies and Bio-Ontologies,ome a relevant factor both in research and industry. This situation is more evident in research fields such as the life sciences, where new experiments by different research groups are constantly generating new information regarding a wide variety of related study objects. However, current methods f

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Maximizer

Computational Prediction of MicroRNA Target Genes, Target Prediction Databases, and Web Resources,e “seed match” region of target mRNAs. While this mechanism is fairly well understood, accurate prediction of valid miRNA targets remains challenging due to factors such as imperfect sequence specificity, target site availability, and the thermodynamic stability of the mRNA structure itself. As know

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