Global Analysis of Gene Expression: Methods, Interpretation, and Pitfalls
Over the past 15 years, global analysis of mRNA expression has emerged as a powerful strategy for biological discovery. Using the power of parallel processing, robotics, and computer-based informatics, a number of high-throughput methods have been devised. These include DNA microarrays, serial analy...
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| Veröffentlicht in: | Experimental nephrology 2002-01, Vol.10 (2), p.64-74 |
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| container_title | Experimental nephrology |
| container_volume | 10 |
| creator | Fryer, Ryan M. Randall, Jeffrey Yoshida, Takumi Hsiao, Li-Li Blumenstock, Joshua Jensen, Katharine E. Dimofte, Tudor Jensen, Roderick V. Gullans, Steven R. |
| description | Over the past 15 years, global analysis of mRNA expression has emerged as a powerful strategy for biological discovery. Using the power of parallel processing, robotics, and computer-based informatics, a number of high-throughput methods have been devised. These include DNA microarrays, serial analysis of gene expression, quantitative RT-PCR, differential-display RT-PCR, and massively parallel signature sequencing. Each of these methods has inherent advantages and disadvantages, often related to expense, technical difficulty, specificity, and reliability. Further, the ability to generate large data sets of gene expression has led to new challenges in bioinformatics. Nonetheless, this technological revolution is transforming disease classification, gene discovery, and our understanding of regulatory gene networks. |
| doi_str_mv | 10.1159/000049901 |
| format | Article |
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| language | eng |
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| source | MEDLINE; Karger Journals; Alma/SFX Local Collection |
| subjects | Computational Biology Genome, Human Humans Kidney Diseases - genetics Oligonucleotide Array Sequence Analysis - methods Oligonucleotide Array Sequence Analysis - trends |
| title | Global Analysis of Gene Expression: Methods, Interpretation, and Pitfalls |
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