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001			233122
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005			20221220020439.0
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008			210325s2021 xxu| s |||| 0|eng d
020			_a9781071611500
024	7		_a10.1007/978-1-0716-1150-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
245	1	0	_aRibosome Profiling _bMethods and Protocols _cedited by Vyacheslav M. Labunskyy.
250			_a1st edition 2021
264		1	_aNew York, NY _bSpringer International Publising _c2021
300			_a1 recurso en línea (XI, 348 páginas) _b72 ilustraciones, 53 ilustraciones a color
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 _v2252
505	0		_aMonitoring Bacterial Translation Rates Genome-Wide -- Identification of Translation Start Sites in Bacterial Genomes -- Genome-Wide Ribosome Profiling of the Plasmodium falciparum Intraerythrocytic Developmental Cycle -- Performing Ribosome Profiling to Assess Translation in Vegetative and Meiotic Yeast Cells -- Quantitative Comparisons of Translation Activity by Ribosome Profiling with Internal Standards -- Genome-Wide Analysis of Translation in Replicatively Aged Yeast -- Tissue-Specific Ribosome Profiling in Drosophila -- Measuring Organ-Specific Translation Elongation Rate in Mice -- Active Ribosome Profiling with RiboLace: From Bench to Data Analysis -- Poly-A Tailing and Adaptor Ligation Methods for Ribo-Seq Library Construction -- Choice of Ribonucleases for Ribosome Profiling Experiments -- Codon Resolution Analysis of Ribosome Profiling Data -- Assessing Ribosome Distribution Along Transcripts with Polarity Scores and Regression Slope Estimates -- Unsupervised Bayesian Prediction of RNA Translation from Ribosome Profiling Data -- uORF-seqr: A Machine Learning-Based Approach to the Identification of Upstream Open Reading Frames in Yeast -- Genome-Wide Analysis of Actively Translated Open Reading Frames Using RiboTaper/ORFquant.
520			_aThis book provides a single-source reference on the current state of the ribosome profiling method by describing experimental protocols for the quantitative analysis of translation in a variety of model organisms. In addition, the volume presents a detailed overview of the existing software tools and includes detailed description of methods for statistical analysis, data processing, and visualization of ribosome profiling data. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Ribosome Profiling: Methods and Protocols aims to provide the type of standardized protocols that have previously been unavailable in an effort to bypass the major barriers to wide use of ribosome profiling-based approaches.
700	1		_aLabunskyy, Vyacheslav M _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9781071611494
776	0	8	_iPrinted edition: _z9781071611517
776	0	8	_iPrinted edition: _z9781071611524
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-0716-1150-0 _z(usuarios Universidad Europea de Valencia)
942			_2lcc _cLE
988			_aSpringer_Protocols_2021
999			_c233122 _d233122