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This volume provides an overview of RNA bioinformatics methodologies, including basic strategies to predict secondary and tertiary;
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. Bioinformatics and RNA: A Practice-Based Approach is a complete guide on the fundamental concepts, applications, algorithms, protocols, new trends;
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RNA Methodologies: A Laboratory Guide for Isolation and Characterization, Sixth Edition provides the most up-to-date ribonucleic acid;
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cover a wide range of topics from networks to phylogenetic studies, sequence and genome analysis, comparative genomics, and RNA structure.;
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organized in topical sections named: next generation sequencing data analysis; protein-protein interactions and networks; protein and RNA structure;
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RNA technologies are the driving forces of modern medicine and biotechnology. They combine the fields of biochemistry, chemistry, molecular;
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Regulatory Networks, Health and Medical Informatics * Protein Folding, Cancer Studies, Gene Regulatory Networks, Recognition Systems, DNARNA;
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Intelligence Methods for Bioinformatics and Biostatistics; Algebraic and Computational Methods for the Study of RNA Behaviour; Intelligence methods for;
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The presence of modified nucleotides in cellular RNAs has been known for decades and over 100 distinct RNA modifications have been;
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Revealing the many roles of RNA in regulating gene expression For decades after the discoveries of messenger RNA, transfer RNA, and;
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RNA editing. A diverse array of editing events has been characterized, affecting gene expression in organisms from viruses and single cell;
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interaction; HPC and CryoEM; machine and deep learning; data analysis and methodology; analysis and visualization tools; and RNA-Seq data analysis.;
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include information on micro RNAs, RNAi, genome sequences, and RNA splicing. Two new sections have been included to cover functional genomics and;
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assembly, RNA sequence data analysis, drug design, and structural and functional analysis of proteins. In addition, it discusses computational;
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and regulation. It also plays a crucial role in cataloguing the biological pathways and networks, simulation and modeling of DNA, RNA and;
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a significant role in development, proliferation, differentiation and apoptosis. Since altered non-coding RNA expression is often associated;
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The State of the Art in Transcriptome Analysis RNA sequencing (RNA-seq) data offers unprecedented information about the transcriptome, but;
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discovery, RNA-seq analysis, tensor decomposition and Boolean network.;
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, RNA, and protein sequence analysis-frequently performed subsets of the field of bioinformatics-taking the reader through the commonly asked;
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Conceived as a cross between natural language processing methods and biological sequences in DNA, RNA and protein, biological language;
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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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guidelines, biomarkers, RNA sequencing, digital PCR and more Includes expanded coverage on quantitative PCR techniques, RNAi, bioinformatics;
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analysis, RNA and DNA structure and sequencing, Biomedical engineering, Microarrays, Molecular sequence and structure databases, Molecular dynamics;
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epigenetics analysis, for example, DNA methylation, histone modifications, microRNA, noncoding RNA, and ceRNA, are summarized, in the context of human;
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This textbook provides step-by-step protocols and detailed explanations for RNA Sequencing, ChIP-Sequencing and Epigenetic Sequencing;
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of motif finding. It also covers methods for predicting the secondary structure of RNA and for reconstructing the peptide sequence using mass;
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of motif finding. It also covers methods for predicting the secondary structure of RNA and for reconstructing the peptide sequence using mass;
Vergelijkbare producten zoals Algorithms in Bioinformatics
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