Pathogenomics: Genome Analysis of Pathogenic Microbes by Werner Gobel (Foreword), Jorg Hacker (Editor), Ulrich

By Werner Gobel (Foreword), Jorg Hacker (Editor), Ulrich Dobrindt (Editor)

The 1st publication in this younger, hugely dynamic, and increasing field.This entire, interdisciplinary textual content specializes in these pathogenic micro organism which are of excessive medical and public well-being curiosity, but which additionally exhibit nice capability for the advance of recent diagnostic, prophylactic and healing procedures.The authors conceal all facets of pathogenomics, together with equipment, genomics and functions. additionally, the continuing improvement of genome, transcriptome, proteome and bioinformatic analyses of pathogenic microorganisms and their host interactions makes for a accomplished creation to the sector of recent genomic analysis.This result's worthy to researchers and scholars wishing to achieve a normal assessment of microbial sensible genome research and pathogenesis, whereas additionally representing a great start line for these new to the world.

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Extra resources for Pathogenomics: Genome Analysis of Pathogenic Microbes

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The seven available GAS genomes were compared using the software package Mauve, a method that identifies conserved genomic regions, rearrangements and inversions in conserved regions, and the exact sequence breakpoints of such rearrangements across multiple genomes [11]. Corresponding regions share the same color and are connected by lines. Collinear regions are positioned above the central axis (relative to M1) while inverted regions are drawn below the axis. Light gray regions were too divergent in at least one genome to be meaningfully aligned.

These predictions are complementary to sequence analysis methods where homology allows prediction of protein function, but homology is less clear in relation to the exact substrate specificity. Recognizing all the hidden features in a pathogenic genome is a continuous process, as new software, input from additional experimental data, and the exponential growth of databases allow new insights; for example, five years after the original annotation of a pathogenic genome as exemplified by Mycoplasma pneumoniae, about a third of its annotation can be substantially be improved by these new data and techniques [5, 19].

Large-scale two-dimensional gel analysis coupled with mass spectroscopy). The available genome sequences of various pathogens provide a wide range of novel targets for drug design which can be identified by means of microarray analysis. For example, a recent paper describes the application of functional genomics tools such as microarrays and proteomics for development of new drugs that are not only active against drug-resistant Mycobacterium tuberculosis but also can shorten the course of M. tuberculosis therapy [1].

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