Automation in Proteomics and Genomics (PDF)

In the last decade DNA sequencing costs have decreased over a
magnitude, largely because of increasing throughput by incremental
advances in tools, technologies and process improvements. Further
cost reductions in this and in related proteomics technologies are
expected as a result of the development of new high-throughput
techniques and the computational machinery needed to analyze data
generated.

Automation in Proteomics & Genomics: An Engineering
Case-Based Approach describes the automation technology
currently in the areas of analysis, design, and integration, as
well as providing basic biology concepts behind proteomics and
genomics. The book also discusses the current technological
limitations that can be viewed as an emerging market rather than a
research bottleneck. Topics covered include:

* molecular biology fundamentals: from 'blueprint'
(DNA) to 'task list' (RNA) to 'molecular
machine' (protein); proteomics methods and technologies;
modelling protein networks and interactions

* analysis via automation: DNA sequencing; microarrays and other
parallelization technologies; protein characterization and
identification; protein interaction and gene regulatory
networks

* design via automation: DNA synthesis; RNA by design; building
protein libraries; synthetic networks

* integration: multiple modalities; computational and
experimental methods; trends in automation for genomics and
proteomics

* new enabling technologies and future applications

Automation in Proteomics & Genomics: An Engineering
Case-Based Approach is an essential guide to the current
capabilities and challenges of high-throughput analysis of genes
and proteins for bioinformaticians, engineers, chemists, and
biologists interested in developing a cross-discipline
problem-solving based approach to systems biology.