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Titlebook: Bioinformatics; Volume II: Structure Jonathan M. Keith Book 2017Latest edition Springer Science+Business Media New York 2017 genotype.pheno

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期刊全称Bioinformatics
期刊简称Volume II: Structure
影响因子2023Jonathan M. Keith
视频video
发行地址Includes cutting-edge methods and protocols.Provides step-by-step detail essential for reproducible results.Contains key notes and implementation advice from the experts
学科分类Methods in Molecular Biology
图书封面Titlebook: Bioinformatics; Volume II: Structure Jonathan M. Keith Book 2017Latest edition Springer Science+Business Media New York 2017 genotype.pheno
影响因子.This second edition provides updated and expanded chapters covering a broad sampling of useful and current methods in the rapidly developing and expanding field of bioinformatics. .Bioinformatics, Volume II: Structure, Function, and Applications, Second Edition .is comprised of three sections: Structure, Function, Pathways and Networks; Applications; and Computational Methods. The first section examines methodologies for understanding biological molecules as systems of interacting elements. The Applications section covers numerous applications of bioinformatics, focusing on analysis of genome-wide association data, computational diagnostic, and drug discovery. The final section describes four broadly applicable computational methods that are important to this field. These are: modeling and inference, clustering, parameterized algorithmics, and visualization. As a volume in the highly successful .Methods in Molecular Biology .series, chapters feature the kind of detailand expert implementation advice to ensure positive results..Comprehensive and practical, .Bioinformatics, Volume II: Structure, Function, and Applications. is an essential resource for graduate students, early career
Pindex Book 2017Latest edition
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Inferring Functional Relationships from Conservation of Gene Orderonarily distant prokaryotes they might belong to a polycistronic transcription unit. The procedure presented in this chapter starts with the organization of the genes within genomes into pairs of adjacent genes. Then, the pairs of adjacent genes in a genome of interest are mapped to their correspond
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Construction of Functional Gene Networks Using Phylogenetic Profilesndication of a functional association between genes. The phylogenetic profiling method has been applied successfully to the reconstruction of gene pathways and the inference of unknown gene functions. This method requires only sequence data to generate phylogenetic profiles. This method therefore ha
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Integrating Heterogeneous Datasets for Cancer Module Identificationene expression (GE), copy number aberration (CNA), miRNA expression, methylation, and protein–protein Interactions (PPI). One important problem that can potentially be solved using such data is to determine which of the possible pair-wise interactions among genes contributes to a range of cancer-rel
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Adjusting for Familial Relatedness in the Analysis of GWAS Dataa) or unknown (cryptic relatedness). All of these forms of familial relatedness have the potential to confound the results of genome-wide association studies. This chapter reviews the major methods available to researchers to adjust for the biases introduced by relatedness and maximize power to dete
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