000			04118nam a22004095i 4500
999			_c396444 _d396444
001			396444
003			ES-MaUEC
005			20230605192642.0
006			a|||| o|||| 00| 0
007			cr nn 008mamaa
008			230605s2022 xxu| o |||| 0|eng d
020			_a9781071622377
024	7		_a10.1007/978-1-0716-2237-7 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQH447 _b2022 EB
245	0	0	_aGenome-Wide Association Studies _cedited by Davoud Torkamaneh, François Belzile
250			_a1st edition 2022
264		1	_aNew York, NY _bSpringer International Publising _c2022
300			_a1 recurso en línea (XIII, 371 páginas) _b81 ilustraciones, 73 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 _v2481
505	0		_aDesigning a Genome-Wide Association Study: Main Steps and Critical Decisions -- Preparation and Curation of Phenotypic Datasets -- Genotyping Platforms for Genome-Wide Association Studies: Options and Practical Considerations -- Genome-Wide Association Study Statistical Models: A Review -- Interpretation of Manhattan Plots and Other Outputs of Genome-Wide Association Studies -- Preparation and Curation of Multi-Year, Multi-Location, Multi-Trait Datasets -- Development, Preparation, and Curation of High-Throughput Phenotypic Data for Genome-Wide Association Studies: A Sample Pipeline in R -- Preparation and Curation of Omics Data for Genome-Wide Association Studies -- Producing High-Quality Single Nucleotide Polymorphism Data for Genome-Wide Association Studies -- A Practical Guide to Using Structural Variants for Genome-Wide Association Studies -- Data Integration, Imputation, and Meta-Analysis for Genome-Wide Association Studies -- Population Structure and Relatedness for Genome-Wide Association Studies -- Performing Genome-Wide Association Studies with Multiple Models Using GAPIT -- Performing Genome-Wide Association Studies Using rMVP -- Identification and Validation of Candidate Genes from Genome-Wide Association Studies -- Biparental Crossing and QTL Mapping for Genome-Wide Association Studies Validation -- Development of Breeder Friendly KASP Markers from Genome-Wide Association Studies Results -- Mapping Major Disease Resistance Genes in Soybean by Genome-Wide Association Studies -- GWAS Case Studies in Wheat -- Plant Microbiome-Based Genome-Wide Association Studies.
520			_aThis detailed collection explores genome-wide association studies (GWAS), which have revolutionized the investigation of complex traits over the past decade and have unveiled numerous useful genotype-phenotype associations in plants. The book describes the key concepts and methods underlying GWAS, including the genetic architecture underlying variation for phenotypic traits, the structure of genetic variation in plants, technologies for capturing genetic information, study designs, and the statistical models and bioinformatics tools used for data analysis. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of invaluable implementation advice that leads to the most fruitful research results. Authoritative and practical, Genome-Wide Association Studies serves as an extremely valuable resource for the plant research community by rendering GWAS analysis less challenging and more accessible to a broader group of users.
988			_aSpringer_Protocols_2022
650		7	_2embne _9164326 _aGenómica
650		7	_2embne _9182523 _aCáncer _xInvestigación
776	0	8	_iPrinted edition: _z9781071622360
776	0	8	_iPrinted edition: _z9781071622384
776	0	8	_iPrinted edition: _z9781071622391
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-0716-2237-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b06/2023 _dz _eIG _zSI