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Automation, parallelism, and robotics for proteomics

Gil Alterovitz, Jonathan Liu, Jijun Chow, Marco Ramoni

发表年份
2006
引用次数
12
访问权限
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摘要

The speed of the human genome project (Lander, E. S., Linton, L. M., Birren, B., Nusbaum, C. et al., Nature 2001, 409, 860-921) was made possible, in part, by developments in automation of sequencing technologies. Before these technologies, sequencing was a laborious, expensive, and personnel-intensive task. Similarly, automation and robotics are changing the field of proteomics today. Proteomics is defined as the effort to understand and characterize proteins in the categories of structure, function and interaction (Englbrecht, C. C., Facius, A., Comb. Chem. High Throughput Screen. 2005, 8, 705-715). As such, this field nicely lends itself to automation technologies since these methods often require large economies of scale in order to achieve cost and time-saving benefits. This article describes some of the technologies and methods being applied in proteomics in order to facilitate automation within the field as well as in linking proteomics-based information with other related research areas.

关键词

AutomationProteomicsRoboticsComputer scienceField (mathematics)Data scienceArtificial intelligenceEngineeringSystems engineeringBiology

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