| 000 | 03363nam a22003615i 4500 | ||
|---|---|---|---|
| 001 | 391050 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230102122451.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 191217s2020 xxu| s |||| 0|eng d | ||
| 020 | _a9781071600269 | ||
| 024 | 7 |
_a10.1007/978-1-0716-0026-9 _2doi |
|
| 040 |
_aES-MaUEC _bspa _cES-MaUEC |
||
| 245 | 1 | 0 |
_aeQTL Analysis _bMethods and Protocols _cedited by Xinghua Mindy Shi. |
| 250 | _a1st edition 2020 | ||
| 264 | 1 |
_aNew York, NY _bSpringer International Publising _c2020 |
|
| 300 |
_a1 recurso en línea (X, 252 páginas) _b145 ilustraciones, 65 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 _v2082 |
|
| 505 | 0 | _aIntroductory Methods for eQTL Analyses -- Performing QTL and eQTL Analyses with the R-package GenomicTools -- eQTL Mapping using Transcription Factor Affinity -- Identification and Quantification of Splicing Quantitative Trait Loci -- Genome-wide Composite Interval Mapping (GCIM) of Expressional Quantitative Trait Loci in Backcross Population -- Combining eQTL and SNP Annotation Data to Identify Functional Noncoding SNPs in GWAS Trait-associated Regions -- Statistical and Machine Learning Methods for eQTL Analysis -- Sparse Regression Models for Unraveling Group and Individual Associations in eQTL Mapping -- Exploring Bayesian Approaches to eQTL Mapping through Probabilistic Programming -- High-order Association Mapping for Expression Quantitative Trait Loci -- Integration of Multi-omics Data for Expression Quantitative Trait Loci (eQTL) Analysis and eQTL Epistasis -- Sparse Partial Least Squares Methods for Joint Modular Pattern Discovery -- Expression Quantitative Trait Loci (eQTL) Analysis in Cancer -- QTL Analysis Beyond eQTLs -- Quantitative Trait Loci (QTL) Mapping -- Expression Quantitative Trait Loci Analysis in Multiple Tissues -- Tissue Specific eQTL in Zebrafish. . | |
| 520 | _aThis volume details state-of-art eQTL analysis, where interdisciplinary researchers are provided both theoretical and practical guidance to eQTL analysis and interpretation. Chapters guide readers through methods and tools for eQTL and QTL analysis and the usage of such analysis in various scenarios. 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, eQTL Analysis: Methods and Protocols to ensure successful results in the further study of this vital field. . | ||
| 700 | 1 |
_aShi, Xinghua Mindy _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 776 | 0 | 8 |
_iPrinted edition: _z9781071600252 |
| 776 | 0 | 8 |
_iPrinted edition: _z9781071600276 |
| 776 | 0 | 8 |
_iPrinted edition: _z9781071600283 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-0716-0026-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
||
| 988 | _aSpringer_Protocols_2020 | ||
| 999 |
_c391050 _d391050 |
||