Bioarrays: From Basics to Diagnostics - download pdf or read online

By Krishnarao Appasani, Sir E.M. Southern

This e-book offers an built-in choice of well timed articles at the use of bioarray innovations within the fields of biotechnology and molecular drugs. it's the first ebook to comprehensively combine molecular diagnostics and molecular pathology. This publication serves as an crucial reference for graduate scholars, post-docs, and professors in addition to an explanatory research for executives and scientists in biotechnology and pharmaceutical businesses.

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25. Dias, N. , Correa, R. , et al. (2000) Shotgun sequencing of the human transcriptome with ORF expressed sequence tags. Proc. Natl. Acad. Sci. USA 97, 3491–3496. From Tissue Samples to Tumor Markers 27 26. , Caballero, O. , Camargo, A. , et al. (2003) The generation and utilization of a cancer-oriented representation of the human transcriptome by using expressed sequence tags. Proc. Natl. Acad. Sci. USA 100, 418–423. 27. Brentani, R. , Carraro, D. , et al. (2005) Gene expression arrays in cancer research: methods and applications.

Crit. Rev. Oncol. Hematol. 54, 95– 105. 28. , Stevenson, B. , de Souza, S. , et al. (2002) Long-range heterogeneity at the 3´ ends of human mRNAs. Genome Res. 12, 1068–1074. 29. , Whitfield, M. , Borresen-Dale, A. , and Jeffrey, S. S. (2002) Optimization and evaluation of T7 based RNA linear amplification protocols for cDNA microarray analysis. BMC Genomics 3, 31. 30. Gomes, L. , Silva, R. , Stolf, B. , et al. (2003) Comparative analysis of amplified and nonamplified RNA for hybridization in cDNA microarray.

A parallel comparison should be the option for a large number of samples, because of the higher specificity and reproducibility between replicates. Moreover, parallel comparisons facilitate data analysis by using unsophisticated statistical tools, which provide a considerable advantage for a large data set. How do you make design choices based on the type of experiment? Broadly, experiments can be classified into one of the following categories: treatment regimen, disease classification, time courses, and factorial studies.

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