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Descripción
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| The development of high-throughput techniques for analyzing cell components has provided vast amounts of data in recent years. This development of gene-sequencing methods was followed by advances in techniques for analyzing and managing data from transcriptomes, proteomes, and other omics data. The so-called omics revolution has led to the development of numerous databases describing specific cell components. A recent study suggests that cell behavior cannot be modeled by analyzing its constituents separately, but rather calls for an integrative approach (Barabási and Oltvai 2004). Thus, specialized techniques are being developed to integrate omics information. To enable new research avenues that can take advantage of and apply this information to new therapies ¿ e.g. in cancer research ¿ methods must be designed that provide a seamless integration of these new databases with classical clinical data. | |
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Internacional
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Si |
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DOI
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10.1007/978-90-481-2675-0 |
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Edición del Libro
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0 |
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Editorial del Libro
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Springer Netherlands |
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ISBN
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978-90-481-2674-3 |
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Serie
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Título del Libro
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An Omics Perspective on Cancer Research |
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Desde página
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249 |
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Hasta página
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266 |