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Bioinformatics and Genome Analysis

Specificaties
Paperback, 300 blz. | Engels
Springer Berlin Heidelberg | 0e druk, 2012
ISBN13: 9783662047491
Rubricering
Springer Berlin Heidelberg 0e druk, 2012 9783662047491
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Samenvatting

Bioinformatics is emerging as a field with ever-increasing promise, ur­ gency, and necessity. All three of these facets can be seen in the con­ text of the recent sequencing of the human genome. The creation of a novel algorithm for the assembly of whole genome shotgun data sets accelerated the project and resulted in its near completion in 2001. The urgency became apparent with the landslide of data that ensued and the realization that current databases and tool sets are not up to the task. Finally, the necessity of bioinformatics as a facet of molecular biologi­ cal research becomes evident in the impossibility of individual human comprehension of all the details of the functioning of a cell at the mo­ lecular level, especially now that we stand on the edge of this preci­ pice. We find ourselves at a time when we have the essentially complete genomes of human and mouse, and the completed sequences of Droso­ phila melanogaster, Caenorhabditis elegans, several fungi including Saccharomyces cerevisiae, and many bacteria including Escherichia coli. There are volumes of mRNA expression data sets, high-density maps of highly variable SNPs for both human and mouse, physical marker maps for many other important agricultural and drug trial ani­ mals, and a complete knock-out survey of yeast. In addition, the se­ quencing of D. pseudoobscura and Caenorhabditis briggsae in the near future will provide unusual comparative genomic insights.

Specificaties

ISBN13:9783662047491
Taal:Engels
Bindwijze:paperback
Aantal pagina's:300
Uitgever:Springer Berlin Heidelberg
Druk:0

Inhoudsopgave

1 Dissecting the Genetic Component of Complex Diseases in Humans.- 2 Bioinformatics of Membrane Proteins.- 3 SNAPping Up Functionally Related Genes Based on Context Information: A Colinearity-Free Approach.- 4 Promoter Analysis.- 5 Cluster Analysis and Its Applications to Gene Expression Data.- 6 Statistical Methods for Analyzing Gene Expression Data for Cancer Research.- 7 Comparing Secondary Structure ‘Stick’ Models of Proteins Using Graph Matching with Double Dynamic Programming.- 8 Computational Structural Proteomics.- 9 Proteomics in Biological Research: The Challenge to Make Proteins Speak.- 10 Construction and Prediction of Protein—Protein Interaction Maps.- 11 Bioinformatics, Cellular Flows, and Calculation.- 12 Graph-Based Analysis of Metabolic Networks.- 13 Orphan Protein Function and Its Relation to Glycosylation.- Previous Volumes Published in This Series.

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        Bioinformatics and Genome Analysis