High-throughput bioinformatics

High-throughput Screening NMR-based Ligand Screening Bioinformatics... 

Handling such interwoven networks and complex feedback loops is beyond the capability of common laboratory methods, not to mention that just the complexity of scientific literature itself is already beyond measure. Help from computers and bioinformatics has become a must in today s biomedical research. In fact, bioinformatics methods have become indispensable for each step in biomedical research, from high-throughput data collection to clinical decision support. This chapter focuses on the application of bioinformatics methods in the study of pharmacogenomics, drug discovery, and systems biology. 

DNA microarrays offer the advantage of sensitivity, flexibility in the choice of genes for analysis, and power of analysis if combined with appropriate bioinformatics tools. Using DNA microarrays, the expression of thousands of genes can be measured simultaneously and in a high-throughput manner. 

Kamentsky L, Jones TR, Fraser A et al (2011) Improved structure, function and compatibility for CellProfiler modular high-throughput image analysis software. Bioinformatics 27 1179-1180... 

Ausiello G, ViaA, Hekner-CitterichM (2005) Query3d a new method for high-throughput analysis of functional residues in protein structures. BMC Bioinformatics 4(Suppl 6) S5... 

High-throughput techniques will not only speed up the search, but in this area, as in other aspects of toxicology, bioinformatics will be necessary, not only for correlating the data from many sources but also for reducing it for practical applications. 

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