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008			210820s2022 xxu| s |||| 0|eng d
020			_a9781071613900
024	7		_a10.1007/978-1-0716-1390-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
245	1	0	_aHi-C Data Analysis _bMethods and Protocols _cedited by Silvio Bicciato, Francesco Ferrari.
250			_a1st edition 2022
264		1	_aNew York, NY _bSpringer International Publising _c2022
300			_a1 recurso en línea (XIII, 354 páginas) _b62 ilustraciones, 58 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 _v2301
505	0		_aNormalization of Chromosome Contact Maps: Matrix Balancing and Visualization -- Methods to Assess the Reproducibility and Similarity of Hi-C Data -- Methods for the Analysis of Topological Associating Domains (TADs) -- Methods for the Differential Analysis of Hi-C D -- Visualising and Annotating Hi-C Data -- Hi-C Data Formats -- Analysis of Hi-C Data for Discovery of Structural Variations In Cancer -- Metagenomes Binning using Proximity-Ligation Data -- Generating High-resolution Hi-C Contact Maps Of Bacteria -- Computational Tools for the Multiscale Analysis of HiC Data in Bacterial Chromosomes -- Analysis of HiChIP Data -- The Physical Behavior of Interphase Chromosomes: Polymer Theory and Coarse-Grain Computer Simulations -- Polymer Folding Simulations from Hi-C Data -- Predictive Polymer Models for 3D Chromosome Organization -- Polymer Modeling of 3D Epigenome Folding: Application to Drosophila -- A Polymer Physics Model To Dissect Genome Organization In Healthy And Pathological Phenotypes -- The 3D Organization of Chromatin Colors in Mammalian Nuclei -- Modeling the 3D Genome using Hi-C and Nuclear Lamin-Genome Contacts.
520			_aThis volume details a comprehensive set of methods and tools for Hi-C data processing, analysis, and interpretation. Chapters cover applications of Hi-C to address a variety of biological problems, with a specific focus on state-of-the-art computational procedures adopted for the data analysis. Written in the highly successful Methods in Molecular Biology series format, 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 cutting-edge, Hi-C Data Analysis: Methods and Protocols aims to help computational and molecular biologists working in the field of chromatin 3D architecture and transcription regulation.
700	1		_aBicciato, Silvio _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aFerrari, Francesco _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9781071613894
776	0	8	_iPrinted edition: _z9781071613917
776	0	8	_iPrinted edition: _z9781071613924
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-0716-1390-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aSpringer_Protocols_2022
999			_c396420 _d396420