Modern Molecular Biology: / Applied Bioinformatics and Biostatistics in Cancer Research (PDF)
Approaches for Unbiased Discovery in Cancer Research
(Sprache: Englisch)
A convergence of advancements in molecular biology, engineering, computer science, biostatistics and other disciplines has made possible the development of technologies facilitating the massively parallel investigation of the complex biological phenomena...
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A convergence of advancements in molecular biology, engineering, computer science, biostatistics and other disciplines has made possible the development of technologies facilitating the massively parallel investigation of the complex biological phenomena driving cancer initiation and progression. Such technologies include DNA microarrays, next generation sequencing, proteomics technologies, and tissue microarrays.
In order to properly harness these technologies to imaginatively decipher these complex biological processes, scientists must have an understanding of the underlying technology, be able to adapt these technologies with molecular biology lab approaches, and then be poised to efficiently process and interpret the extremely high dimensional and complex data sets that are generated by these technologies. The primary purpose of this volume is to help bridge the gap between molecular biologists and cancer researchers and the bioinformatics and computational biology researchers by providing an overview of these technologies to those that are not yet familiar with them.
In order to properly harness these technologies to imaginatively decipher these complex biological processes, scientists must have an understanding of the underlying technology, be able to adapt these technologies with molecular biology lab approaches, and then be poised to efficiently process and interpret the extremely high dimensional and complex data sets that are generated by these technologies. The primary purpose of this volume is to help bridge the gap between molecular biologists and cancer researchers and the bioinformatics and computational biology researchers by providing an overview of these technologies to those that are not yet familiar with them.
Bibliographische Angaben
- Autoren: William Isaacs , Srinivasan Yegnasubramanian
- 2010, 2010, 192 Seiten, Englisch
- Herausgegeben: Srinivasan Yegnasubramanian, William B. Isaacs
- Verlag: Springer-Verlag GmbH
- ISBN-10: 0387697454
- ISBN-13: 9780387697451
- Erscheinungsdatum: 02.09.2010
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Größe: 4.73 MB
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Englisch
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