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The Resource Bioinformatics : Structure, Function and Applications, edited by Jonathan M. Keith, (electronic resource)

Bioinformatics : Structure, Function and Applications, edited by Jonathan M. Keith, (electronic resource)

Label
Bioinformatics : Structure, Function and Applications
Title
Bioinformatics
Title remainder
Structure, Function and Applications
Statement of responsibility
edited by Jonathan M. Keith
Creator
Contributor
Subject
Language
eng
Summary
  • Not only is the quantity of life science data expanding, but new types of biological data continue to be introduced as a result of technological development and a growing understanding of biological systems. Methods for analyzing these data are an increasingly important component of modern biological research. In Bioinformatics, leading researchers in the field provide a selection of the most useful and widely applicable methods, able to be applied as is, or with minor variations, to many specific problems. Volume II: Structure, Function and Applications contains methods pertinent to the prediction of protein and RNA structures and the analysis and classification of structures, methods for inferring the function of previously identified genomic elements, chiefly protein-coding genes, medical applications in diagnostics and drug discovery, and "meta-methods" for developers of bioinformatics algorithms. As a volume of the highly successful Methods in Molecular Biology{u2122} series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results. Comprehensive and cutting-edge, Bioinformatics: Volume II: Structure, Function and Applications is an ideal reference for all scientists involved with the ever-growing array of data in the expanding field of life science
  • Not only is the quantity of life science data expanding, but new types of biological data continue to be introduced as a result of technological development and a growing understanding of biological systems. Methods for analyzing these data are an increasingly important component of modern biological research. In Bioinformatics, leading researchers in the field{uFFFD}provide a selection of the most useful and widely applicable methods, able to be applied as is, or with minor variations, to many specific problems.{uFFFD} Volume II: Structure, Function and Applications contains methods pertinent to the prediction of protein and RNA structures and the analysis and classification of structures, methods for inferring the function of previously identified genomic elements, chiefly protein-coding genes, medical applications in diagnostics and drug discovery, and "meta-methods" for developers of bioinformatics algorithms.{uFFFD} As a volume of the highly successful Methods in Molecular Biology{u2122} series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results. Comprehensive and cutting-edge, Bioinformatics: Volume II: Structure, Function and Applications is an ideal reference for all scientists involved with the ever-growing array of data in the expanding field of life science
  • Annotation:
Member of
Is part of
http://library.link/vocab/creatorName
Keith, Jonathan M
Dewey number
570.285
LC call number
QH324.2-324.25
http://library.link/vocab/relatedWorkOrContributorName
SpringerLink (Online service)
Series statement
Methods in Molecular Biology{u2122},
Series volume
453
http://library.link/vocab/subjectName
  • Life sciences
  • Human genetics
  • Bioinformatics
  • Biochemistry
  • Statistics
  • Life Sciences
  • Bioinformatics
  • Computational Biology/Bioinformatics
  • Biochemistry, general
  • Statistics for Life Sciences, Medicine, Health Sciences
  • Human Genetics
Summary expansion
In Bioinformatics, leading researchers provide a selection of the most useful and widely applicable methods, able to be applied as is, or with minor variations, to many specific problems. Volume II: Structure, Function and Applications contains methods pertinent to the prediction of protein and RNA structures and the analysis and classification of structures, methods for inferring the function of previously identified genomic elements, chiefly protein-coding genes, medical applications in diagnostics and drug discovery, and "meta-methods" for developers of bioinformatics algorithms. Over 80 authors from around the globe have contributed to the two volumes
Label
Bioinformatics : Structure, Function and Applications, edited by Jonathan M. Keith, (electronic resource)
Instantiates
Publication
Contents
UNAFold: Software for Nucleic Acid Folding and Hybridization -- Protein Structure Prediction -- An Introduction to Protein Contact Prediction -- Analysis of Mass Spectrometry Data in Proteomics -- The Classification of Protein Domains -- Inferring Function from Homology -- The Rosetta Stone Method -- Inferring Functional Relationships from Conservation of Gene Order -- Phylogenetic Profiling -- Phylogenetic Shadowing: Sequence Comparisons of Multiple Primate Species -- Prediction of Regulatory Elements -- Expression and Microarrays -- Identifying Components of Complexes -- Integrating Functional Genomics Data -- Computational Diagnostics with Gene Expression Profiles -- Analysis of Quantitative Trait Loci -- Molecular Similarity Concepts and Search Calculations -- Optimization of the MAD Algorithm for Virtual Screening -- Combinatorial Optimization Models for Finding Genetic Signatures from Gene Expression Datasets -- Genetic Signatures for a Rodent Model of Parkinson's Disease Using Combinatorial Optimization Methods -- Developing Fixed-Parameter Algorithms to Solve Combinatorially Explosive Biological Problems -- Clustering -- Visualization -- Constructing Computational Pipelines -- Text mining
Control code
OCM1bookssj0000321618
Dimensions
unknown
Isbn
9781603274289
Isbn Type
(print)
Other control number
10.1007/978-1-60327-429-6
Other physical details
digital.
Specific material designation
remote
System control number
(WaSeSS)ssj0000321618
Label
Bioinformatics : Structure, Function and Applications, edited by Jonathan M. Keith, (electronic resource)
Publication
Contents
UNAFold: Software for Nucleic Acid Folding and Hybridization -- Protein Structure Prediction -- An Introduction to Protein Contact Prediction -- Analysis of Mass Spectrometry Data in Proteomics -- The Classification of Protein Domains -- Inferring Function from Homology -- The Rosetta Stone Method -- Inferring Functional Relationships from Conservation of Gene Order -- Phylogenetic Profiling -- Phylogenetic Shadowing: Sequence Comparisons of Multiple Primate Species -- Prediction of Regulatory Elements -- Expression and Microarrays -- Identifying Components of Complexes -- Integrating Functional Genomics Data -- Computational Diagnostics with Gene Expression Profiles -- Analysis of Quantitative Trait Loci -- Molecular Similarity Concepts and Search Calculations -- Optimization of the MAD Algorithm for Virtual Screening -- Combinatorial Optimization Models for Finding Genetic Signatures from Gene Expression Datasets -- Genetic Signatures for a Rodent Model of Parkinson's Disease Using Combinatorial Optimization Methods -- Developing Fixed-Parameter Algorithms to Solve Combinatorially Explosive Biological Problems -- Clustering -- Visualization -- Constructing Computational Pipelines -- Text mining
Control code
OCM1bookssj0000321618
Dimensions
unknown
Isbn
9781603274289
Isbn Type
(print)
Other control number
10.1007/978-1-60327-429-6
Other physical details
digital.
Specific material designation
remote
System control number
(WaSeSS)ssj0000321618

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