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In Silico Analysis and Modeling of Deleterious Single Nucleotide Polymorphism (Snps) in Human Gata4 Gene is een boek van Et Al;
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and analysis. SNPs represent the most common form of genetic variation in both plants and animals, and play a key role in revealing the;
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which happen in the genome in a particular location are termed as single nucleoid polymorphisms (SNPs). They are associated with both coding and;
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Biology; Computational Genomics; Computational Proteomics; Gene Regulation Modeling and Analysis; SNPs and Haplotype Analysis; Protein-Protein;
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information on linkage analysis, association mapping, integrative analysis, and exome analysis as well as tools for DNA marker selection, in silico;
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between the genetic polymorphisms and mutations.It reviews the mechanisms underlying the effect of polymorphism in genes encoding proteins that;
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hybridization probes, melting curves provide dynamic dot blots for fine sequence analysis, including single nucleotide polymorphisms (SNPs). The;
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, identification of human remains, and DNA databasing. Forensic DNA Analysis: Current Practices and Emerging Technologies explores the fundamental;
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DNA (mtDNA) sequence analysis Single nucleotide polymorphisms (SNPs) and insertion/deletion polymorphisms (indels) in typing highly;
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analysis, generation of single RGAs and homologous and heterologous expression studies of Rdr1 candidates reduced the number of candidate genes to;
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comparative modeling, molecular docking, and dynamics simulations of novel drug targets and in silico validation and ADMET analysis for best lead;
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Since the advent of the Human Genome Project, an increasing number of disease-causing genes have been discovered and, in some cases;
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, HLA gene analysis, MHC characterizing, in silico vaccine design, mathematical modeling of host-pathogen interactions, and network analysis;
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This book is a practical review which focuses on computational analysis and on in silico approaches towards the systematic discovery;
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, mitochondrial DNA testing, Y single nucleotide polymorphisms (SNPs) and short tandem repeats (STRs), and X SNP and STR testing. It also explores low;
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Rigorous statistical analysis methods for human genetics application Statistics in Human Genetics explores the statistical analysis;
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modulatory effect of single nucleotide polymorphisms (SNPs) on the cancer-associated cellular pathways and their interactions with the phytochemicals;
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resistance, its effects on the body tissues, and its analysis on insulin resistance syndrome. Provides exhaustive and latest knowledge;
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, and Polymorphism reviews the current knowledge of CYP2D6 as well as the maturing body of evidence indicating its significance to clinical and;
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, and Polymorphism reviews the current knowledge of CYP2D6 as well as the maturing body of evidence indicating its significance to clinical and;
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AD patients. Chapter four studies the single nucleotide polymorphisms (SNPs) in four candidate genes, and compares their frequencies;
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In Silico Drug Design: Repurposing Techniques and Methodologies explores the application of computational tools that can be utilized;
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nucleases for single nucleotide polymorphism; and small insertion/deletion discovery using standard agarose gel electrophoresis. The methods;
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This detailed book contains chapters using unbiased approaches such as chemical and transposon mutagenesis, as well as a protocol for;
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in Bioinformation Discovery. In this new edition, there are three new chapters covering single nucleotide polymorphism, genes, proteins and disease, and;
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The advancement of DNA sequencing technologies has resulted in a movement away from the single gene, and towards a whole genome focus;
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. The book describes various molecular taxonomic methods, including DNA barcoding and single nucleotide polymorphism-based machine learning;
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