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020 _a9781597454544
024 7 _a10.1007/978-1-59745-454-4
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQH450
_b2008 EB
245 0 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.
988 _aSpringer_Protocols_2008
650 7 _2embne
_9162770
_aExpresión génica
_vManuales de laboratorio
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
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b12/2023
_dz
_eb
_zSI