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020 _a9781592597512
024 7 _a10.1385/1592597513
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
245 1 0 _aGene Expression Profiling
_cedited by Richard A. Shimkets.
250 _a1st edition 2004
264 1 _aTotowa, NJ
_bHumana Press
_c2004
300 _a1 recurso en línea (X, 168 páginas)
_b
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aMethods in Molecular Biology
_x1940-6029
_v258
505 0 _aTechnical Considerations in Quantitating Gene Expression -- Gene Expression Quantitation Technology Summary -- Standardized RT-PCR and the Standardized Expression Measurement Center -- GeneCalling -- Invader Assay for RNA Quantitation -- Monitoring Eukaryotic Gene Expression Using Oligonucleotide Microarrays -- Amplified Differential Gene Expression Microarray -- Suppression Subtractive Hybridization -- Small Amplified RNA-SAGE -- Gene Expression Informatics.
520 _aThe transcription of messenger RNA from a DNA template is a key process in a wide variety of biological systems. In Gene Expression Profiling: Methods and Protocols, leaders in gene expression methodology and bioinformatics data analysis share their best methods for measuring RNA levels in cells and tissues. Each proven protocol is described in step-by-step detail and contains an introduction outlining the principle behind the technique, lists of equipment and reagents, and tips on troubleshooting and avoiding known pitfalls. Special care has been taken to distill the basic underlying principles of each method to a few straightforward concepts so that investigators can easily choose the method most appropriate to their application. The readily reproducible techniques presented include new methods for applying the GeneChip®, SAR-SAGE, StaRT-PCR, SSH, the Invader Assay®, and ADGEM. The authors also provide critical bioinformatics insight and resources for data analysis and management. Cutting-edge and highly practical, Gene Expression Profiling: Methods and Protocols allows novice and experienced investigators alike not only to choose the best method to determine how genes are turned on and off in many different organisms, but also to use informatics resources to analyze and understand the results.
700 1 _aShimkets, Richard A
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
776 0 8 _iPrinted edition:
_z9781617374296
776 0 8 _iPrinted edition:
_z9781489939616
776 0 8 _iPrinted edition:
_z9781588292209
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1385/1592597513
_z(usuarios Universidad Europea de Valencia)
942 _2lcc
_cLE
988 _aSpringer_Protocols_2004
999 _c233974
_d233974