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001			235571
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008			100301s2007 xxu| s |||| 0|eng d
020			_a9781597455473
024	7		_a10.1007/978-1-59745-547-3 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
245	1	0	_aGene Function Analysis _cedited by Michael F. Ochs.
250			_a1st edition 2007
264		1	_aTotowa, NJ _bHumana Press _c2007
300			_a1 recurso en línea (XIV, 337 páginas) _b73 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 _v408
505	0		_aComputational Methods I -- Gene Function Inference From Gene Expression of Deletion Mutants -- Association Analysis for Large-Scale Gene Set Data -- Estimating Gene Function With Least Squares Nonnegative Matrix Factorization -- From Promoter Analysis to Transcriptional Regulatory Network Prediction Using PAINT -- Prediction of Intrinsic Disorder and Its Use in Functional Proteomics -- Computational Methods II -- Sybil: Methods and Software for Multiple Genome Comparison and Visualization -- Estimating Protein Function Using Protein-Protein Relationships -- Bioinformatics Tools for Modeling Transcription Factor Target Genes and Epigenetic Changes -- Mining Biomedical Data Using MetaMap Transfer (MMTx) and the Unified Medical Language System (UMLS) -- Statistical Methods for Identifying Differentially Expressed Gene Combinations -- Experimental Methods -- Gene Function Analysis Using the Chicken B-Cell Line DT40 -- Design and Application of a shRNA-Based Gene Replacement Retrovirus -- Construction of Simple and Efficient DNA Vector-Based Short Hairpin RNA Expression Systems for Specific Gene Silencing in Mammalian Cells -- Selection of Recombinant Antibodies From Antibody Gene Libraries -- A Bacterial/Yeast Merged Two-Hybrid System -- A Bacterial/Yeast Merged Two-Hybrid System -- Engineering Cys2His2 Zinc Finger Domains Using a Bacterial Cell-Based Two-Hybrid Selection System.
520			_aWith the advent of high-throughput technologies, the number of genes of interest has expanded and the traditional methods for gene function analysis cannot achieve the throughput necessary for large-scale exploration. In Gene Function Analysis, a select team of experts bring together a number of recently developed techniques for studying gene function. The volume begins with a variety of computational techniques, which provide an excellent point of departure for the cutting-edge experimental methods that follow. Written in the highly successful Methods in Molecular Biology™ series format, each chapter surveys its subject with readily reproducible laboratory protocols, a list of the necessary materials, and the popular Notes section, which contains tips for troubleshooting and avoiding known pitfalls. Comprehensive and timely, Gene Function Analysis offers researchers a clear guide and the important tools they need to further study the intricate human genome.
700	1		_aOchs, Michael F _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9781617377488
776	0	8	_iPrinted edition: _z9781588297341
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-59745-547-3 _z(usuarios Universidad Europea de Valencia)
942			_2lcc _cLE
988			_aSpringer_Protocols_2007
999			_c235571 _d235571