| 000 | 03972nam a22003735i 4500 | ||
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| 001 | 235365 | ||
| 003 | ES-VaUE | ||
| 005 | 20221220020700.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 100301s2003 xxu| s |||| 0|eng d | ||
| 020 | _a9781592593644 | ||
| 024 | 7 |
_a10.1385/159259364X _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC |
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| 245 | 1 | 0 |
_aFunctional Genomics _cedited by Michael J. Brownstein, Arkady Khodursky. |
| 250 | _a1st edition 2003 | ||
| 264 | 1 |
_aTotowa, NJ _bHumana Press _c2003 |
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| 300 |
_a1 recurso en línea (XII, 260 páginas) _b |
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| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_aarchivo de texto _bPDF |
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| 490 | 0 |
_aMethods in Molecular Biology _x1940-6029 _v224 |
|
| 505 | 0 | _aFabrication of cDNA Microarrays -- Nylon cDNA Expression Arrays -- Plastic Microarrays -- Preparing Fluorescent Probes for Microarray Studies -- Escherichia coli Spotted Double-Strand DNA Microarrays -- Isolation of Polysomal RNA for Microarray Analysis -- Parallel Analysis of Gene Copy Number and Expression Using cDNA Microarrays -- Genome-wide Mapping of Protein-DNA Interactions by Chromatin Immunoprecipitation and DNA Microarray Hybridization -- Statistical Issues in cDNA Microarray Data Analysis -- Experimental Design to Make the Most of Microarray Studies -- Statistical Methods for Identifying Differentially Expressed Genes in DNA Microarrays -- Detecting Stable Clusters Using Principal Component Analysis -- Clustering in Life Sciences -- A Primer on the Visualization of Microarray Data -- Microarray Databases. | |
| 520 | _aAs high-throughput methods become more available and routine, experimentalists and theoreticians must be prepared to take advantage of the analytical power these methods offer. In Functional Genomics: Methods and Protocols, leading experimentalists-many pioneers in the field-describe in step-by-step detail robust methods for microarray-based studies and provide expert guidance in optimal data analysis and informatics. Drawing on insights derived from their long experience in biology, neurobiology, cell biology, molecular biology, and statistics, the authors review each of the key methods and analytical techniques used in functional genomics. On the methods side, this includes proven techniques for monitoring subcellular RNA localization en masse, for mapping chromosomes at the resolution of a single gene, and for surveying the steady-state genome-wide distribution of DNA binding proteins in vivo. For those workers dealing with massive data sets, the book discusses the methodological aspects of data analysis and informatics in the design of microarray experiments, the choice of test statistic, and the assessment of observational significance, data reduction, and clustering. Additional chapters outline the many available approaches to data visualization and storage so crucial to the successful mining and examination of experimental results. Timely and cutting-edge, Functional Genomics: Methods and Protocols offers novice and advanced investigators in all biological fields a collection of highly practical, readily reproducible methods, data analysis techniques, and experimental design criteria that will ensure safe passage through one of the most demanding and fastest growing fields today. | ||
| 700 | 1 |
_aBrownstein, Michael J _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aKhodursky, Arkady _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 776 | 0 | 8 |
_iPrinted edition: _z9781617374746 |
| 776 | 0 | 8 |
_iPrinted edition: _z9781489938480 |
| 776 | 0 | 8 |
_iPrinted edition: _z9781588292919 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1385/159259364X _z(usuarios Universidad Europea de Valencia) |
| 942 |
_2lcc _cLE |
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| 988 | _aSpringer_Protocols_2003 | ||
| 999 |
_c235365 _d235365 |
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