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|a 9780387367477
|9 978-0-387-36747-7
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|a 10.1007/0-387-36747-0
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|a Discovering Biomolecular Mechanisms with Computational Biology
|h [electronic resource] /
|c edited by Frank Eisenhaber.
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|a 1st ed. 2006.
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|a New York, NY :
|b Springer US :
|b Imprint: Springer,
|c 2006.
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|a XI, 147 p. 42 illus., 1 illus. in color.
|b online resource.
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|a text
|b txt
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|a computer
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|a online resource
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|a Molecular Biology Intelligence Unit
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|a Prediction of Post-translational modifications from amino acid sequence: Problems, pitfalls, methodological hints -- Deriving Biological Function of Genome Information with Biomolecular Sequence and Structure Analysis -- Reliable and Specific Protein Function Prediction by Combining Homology with Genomic(s) Context -- Clues from Three-Dimensional Structure Analysis and Molecular Modelling -- Prediction of Protein Function -- Complementing Biomolecular Sequence Analysis with Text Mining in Scientific Articles -- Extracting Information for Meaningful Function Inference through Text-Mining -- Literature and Genome Data Mining for Prioritizing Disease-Associated Genes -- Mechanistic Predictions from the Analysis of Biomolecular Networks -- Model-Based Inference of Transcriptional Regulatory Mechanisms from DNA Microarray Data -- The Predictive Power of Molecular Network Modelling -- Mechanistic Predictions from the Analysis of Biomolecular Sequence Populations: Considering Evolution for Function Prediction -- Theory of Early Molecular Evolution -- Hitchhiking Mapping -- Understanding the Functional Importance of Human Single Nucleotide Polymorphisms -- Correlations between Quantitative Measures of Genome Evolution, Expression and Function.
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|a In this anthology, leading researchers present critical reviews of methods and high-impact applications in computational biology that lead to results that also non-bioinformaticians must know to design efficient experimental research plans. Discovering Biomolecular Mechanisms with Computational Biology also summarizes non-trivial theoretical predictions for regulatory and metabolic networks that have received experimental confirmation. Discovering Biomolecular Mechanisms with Computational Biology is essential reading for life science researchers and higher-level students that work on biomolecular mechanisms and wish to understand the impact of computational biology for their success.
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|a Biochemistry.
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|a Medicine-Research.
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|a Biology-Research.
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|a Medical microbiology.
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|a Biochemistry.
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|a Biomedical Research.
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|a Medical Microbiology.
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|a Eisenhaber, Frank.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9781441941770
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|i Printed edition:
|z 9780387514246
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|i Printed edition:
|z 9780387345277
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|a Molecular Biology Intelligence Unit
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|u https://doi.uam.elogim.com/10.1007/0-387-36747-0
|z Texto Completo
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|a ZDB-2-SBL
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|a Biomedical and Life Sciences (SpringerNature-11642)
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|a Biomedical and Life Sciences (R0) (SpringerNature-43708)
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