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| 003 | ES-MaUEC | ||
| 005 | 20240212132413.0 | ||
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| 008 | 100917s2010 xxu| fo |||| 0|eng d | ||
| 020 | _a9781607618546 | ||
| 024 | 7 |
_a10.1007/978-1-60761-854-6 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aQH324.2 _b2010 EB |
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| 245 | 1 | 0 |
_aComputational Biology of Transcription Factor Binding _cedited by Istvan Ladunga. |
| 250 | _a1st edition 2010 | ||
| 264 | 1 |
_aTotowa, NJ _bHumana Press _c2010 |
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| 300 |
_a1 recurso en línea (XI, 454 páginas) _b102 ilustraciones, 9 ilustraciones a color |
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| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_aarchivo de texto _bPDF |
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| 490 | 0 |
_aMethods in Molecular Biology _x1940-6029 _v674 |
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| 505 | 0 | _aAn Overview of the Computational Analyses and Discovery of Transcription Factor Binding Sites -- Components and Mechanisms of Regulation of Gene Expression -- Regulatory Regions in DNA: Promoters, Enhancers, Silencers, and Insulators -- Three-Dimensional Structures of DNA-Bound Transcriptional Regulators -- Identification of Promoter Regions and Regulatory Sites -- Motif Discovery Using Expectation Maximization and Gibbs' Sampling -- Probabilistic Approaches to Transcription Factor Binding Site Prediction -- The Motif Tool Assessment Platform (MTAP) for Sequence-Based Transcription Factor Binding Site Prediction Tools -- Computational Analysis of ChIP-seq Data -- Probabilistic Peak Calling and Controlling False Discovery Rate Estimations in Transcription Factor Binding Site Mapping from ChIP-seq -- Sequence Analysis of Chromatin Immunoprecipitation Data for Transcription Factors -- Inferring Protein-DNA Interaction Parameters from SELEX Experiments -- Kernel-Based Identification of Regulatory Modules -- Identification of Transcription Factor Binding Sites Derived from Transposable Element Sequences Using ChIP-seq -- Target Gene Identification via Nuclear Receptor Binding Site Prediction -- Computing Chromosome Conformation -- Large-Scale Identification and Analysis of C-Proteins -- Evolution of cis-Regulatory Sequences in Drosophila -- Regulating the Regulators: Modulators of Transcription Factor Activity -- Annotating the Regulatory Genome -- Computational Identification of Plant Transcription Factors and the Construction of the PlantTFDB Database -- Practical Computational Methods for Regulatory Genomics: A cisGRN-Lexicon and cisGRN-Browser for Gene Regulatory Networks -- Reconstructing Transcriptional Regulatory Networks Using Three-Way Mutual Information and Bayesian Networks -- Computational Methods for Analyzing Dynamic Regulatory Networks. | |
| 520 | _aThrough great experimental difficulty, we've witnessed rapid, crucial developments at the intersection of computational biology, experimental technology, and statistics through which the vital process of transcriptional regulation can be further examined. In Computational Biology of Transcription Factor Binding, experts in the field examine the basic principles and provide detailed guidance for the computational analyses and biological interpretations of transcription factor binding, while disclosing critical practical information and caveats that are missing from many research publications. The volume serves not only computational biologists but experimentalists as well, who may want to better understand how to design and execute experiments and to communicate more effectively with computational biologists, computer scientists, and statisticians. Written for the highly successful Methods in Molecular Biology™ series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results in the lab. Authoritative and easy to use, Computational Biology of Transcription Factor Binding guides scientists working in this area and demands not only new experiments but also the re-annotation of existing experimental data and computational predictions leading to important ongoing, major paradigm changes for us all. | ||
| 988 | _aSpringer_Protocols_2010 | ||
| 650 | 7 |
_2embne _9160489 _aBioinformática |
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| 776 | 0 | 8 |
_iPrinted edition: _z9781607618539 |
| 776 | 0 | 8 |
_iPrinted edition: _z9781607618553 |
| 776 | 0 | 8 |
_iPrinted edition: _z9781493961665 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-60761-854-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b12/2023 _dz _ean _zSI |
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