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001			235594
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008			100301s2008 xxu| s |||| 0|eng d
020			_a9781597454544
024	7		_a10.1007/978-1-59745-454-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
245	1	0	_aSerial Analysis of Gene Expression (SAGE) _bMethods and Protocols _cedited by Kåre Lehmann Nielsen.
250			_a1st edition 2008
264		1	_aTotowa, NJ _bHumana Press _c2008
300			_a1 recurso en línea (X, 208 páginas) _b42 ilustraciones
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 _v387
505	0		_aExperimental Procedures -- SAGE and LongSAGE -- Robust-LongSAGE (RL-SAGE) -- aRNA-LongSAGE -- SuperSAGE -- Low-Cost-Medium Throughput Sanger Dideoxy Sequencing -- DeepSAGE -- High-Resolution, Genome-Wide Mapping of Chromatin Modifications by GMAT -- - and 3 -RACE from LongSAGE Tags -- Tag Extraction and Analysis -- Extraction and Annotation of SAGE Tags Using Sequence Quality Values -- Correction of Technology-Related Artifacts in Serial Analysis of Gene Expression -- Duplicate Ditag Analysis in LongSAGE -- Statistical Comparison of Two or More SAGE Libraries -- Scaling of Gene Expression Data Allowing the Comparison of Different Gene Expression Platforms -- Clustering Analysis of SAGE Transcription Profiles Using a Poisson Approach -- Identifying Nonspecific SAGE Tags by Context of Gene Expression.
520			_aSerial Analysis of Gene Expression (SAGE): Digital Gene Expression Profiling facilitates the introduction of SAGE into the laboratory, and provides a framework for interpreting and comparing data derived from SAGE experiments. Of the several methods of genetic profiling available, only SAGE measures the expression of both known and unknown genes. SAGE studies encompass 50,000 tags and can provide detailed knowledge of the 2000 most highly expressed genes in the tissue sample. The SAGE protocols presented are detailed, fully annotated, and tested, and are all written by experienced SAGE researchers from around the world. Part 1 is dedicated to experimental procedures of SAGE and related methods including aRNA LongSAGE, SuperSAGE, DeepSAGE, and GMAT. Part 2 provides methods for extraction and filtration of tags, analysis of ditag populations, and completing statistically correct comparisons of gene expression profiles. Comparative transcriptomics enables scientists to understand the underlying genetics of biological changes such as development, disease, crop yield, and resistance. SAGE analysis is also used to obtain unknown tags, which can be used as gene-specific primers in Rapid Amplification of cDNA Ends (RACE) reactions to generate full-length transcripts for cloning and sequencing. This book will be an indispensable tool for any lab engaged in genetic profiling and comparative transcriptomics, and will help many laboratories to successfully implement tag-based sequencing methods and procedures and obtain comprehensive, useful, and interpretative data.
700	1		_aNielsen, Kåre Lehmann _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9781617377129
776	0	8	_iPrinted edition: _z9781588296764
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-59745-454-4 _z(usuarios Universidad Europea de Valencia)
942			_2lcc _cLE
988			_aSpringer_Protocols_2008
999			_c235594 _d235594