A model selection approach for the identification of quantitative trait loci in experimental crosses, allowing epistasis. - sprookjes - yvandenbroek - TriplyDB

A model selection approach for the identification of quantitative trait loci in experimental crosses, allowing epistasis.

A model selection approach for the identification of quantitative trait loci in experimental crosses, allowing epistasis.

http://www.wikidata.org/entity/Q30439524

about

Evolution of an adaptive behavior and its sensory receptors promotes eye regression in blind cavefish.Genetic dissection of the Canq1 locus governing variation in extent of the collateral circulation Genetic analysis of genome-scale recombination rate evolution in house mice Fourteen Years of R/qtl: Just Barely Sustainable High-throughput computer vision introduces the time axis to a quantitative trait map of a plant growth response.The Genetic Basis of Upland/Lowland Ecotype Divergence in Switchgrass (Panicum virgatum)Quantitative Trait Locus Analysis of Mating Behavior and Male Sex Pheromones in Nasonia Wasps Two distinct genomic regions, harbouring the period and fruitless genes, affect male courtship song in Drosophila montana Quantitative trait loci affecting the 3D skull shape and size in mouse and prioritization of candidate genes in-silico.Genetic mapping of adaptation reveals fitness tradeoffs in Arabidopsis thaliana Quantitative trait loci mapping of heat tolerance in broccoli (Brassica oleracea var. italica) using genotyping-by-sequencing.A Bayesian partition method for detecting pleiotropic and epistatic eQTL modules.QTL underlying voluntary exercise in mice: interactions with the "mini muscle" locus and sex.Eggplant Resistance to the Ralstonia solanacearum Species Complex Involves Both Broad-Spectrum and Strain-Specific Quantitative Trait Loci.Genetics of cuticular hydrocarbon differences between males of the parasitoid wasps Nasonia giraulti and Nasonia vitripennis Mapping complex traits as a dynamic system.Genomewide multiple-loci mapping in experimental crosses by iterative adaptive penalized regression Statistical Methods for Latent Class Quantitative Trait Loci Mapping Significance test and genome selection in bayesian shrinkage analysis A simple regression-based method to map quantitative trait loci underlying function-valued phenotypes.High-resolution mapping of a genetic locus regulating preferential carbohydrate intake, total kilocalories, and food volume on mouse chromosome 17 Multiple loci contribute to genome-wide recombination levels in male mice.Evolution of cichlid vision via trans-regulatory divergence.A model selection approach for expression quantitative trait loci (eQTL) mapping Quantitative genetic analysis of retinal degeneration in the blind cavefish Astyanax mexicanus.QTL analysis of root morphology, flowering time, and yield reveals trade-offs in response to drought in Brassica napus.Development of a next-generation NIL library in Arabidopsis thaliana for dissecting complex traits.Distinct genetic architecture underlies the emergence of sleep loss and prey-seeking behavior in the Mexican cavefish.Genetic dissection of a key reproductive barrier between nascent species of house mice Mapping epistatic quantitative trait loci.Systems genetics of susceptibility to obesity-induced diabetes in mice Complex Evolutionary and Genetic Patterns Characterize the Loss of Scleral Ossification in the Blind Cavefish Astyanax mexicanus.Identification of Dw1, a Regulator of Sorghum Stem Internode Length.Quantitative trait loci for sensitivity to ethanol intoxication in a C57BL/6J×129S1/SvImJ inbred mouse cross.Genetics and evolution of hybrid male sterility in house mice.Identification of novel mouse genes conferring posthypoxic pauses.Quantile-based permutation thresholds for quantitative trait loci hotspots.Mapping Quantitative Trait Loci Underlying Function-Valued Traits Using Functional Principal Component Analysis and Multi-Trait Mapping.Mapping quantitative trait loci affecting Arabidopsis thaliana seed morphology features extracted computationally from images.Balance between short and long isoforms of cFLIP regulates Fas-mediated apoptosis in vivo

P2860

Q21245386-8BFCA6D9-5B67-4F24-A7BA-B9E4F2B45AF9 Q27308825-3A9B5D54-E30F-4E9D-82AE-27E8F5338FB3 Q27339752-3A6357A2-9ADE-4924-A9D1-CF8B324401C2 Q28654281-A09C593B-EC2A-4BED-BF59-E66DE85D78A7 Q28661930-0CD14795-E6AD-464F-9A1A-B7FB3227BCDA Q28821856-01A4BA38-DF9C-4BAD-BD47-1A0BE3FD113E Q28829480-98B3E7C7-E2E1-4CB3-A4A4-BEB88C66C3E1 Q30454018-5638FD04-7126-4360-9DF4-55D221F6F7C8 Q30632182-4519FFC0-7E22-4C33-89EF-4F00C3695433 Q30712246-71C3031A-F1A9-4EE8-98C2-AD2F5588E61D Q31145540-172B935C-CC7C-49E8-B843-A73576147311 Q33525507-6991041B-E5AF-4640-9EDA-617E1368B9AF Q33567590-6B9EF9F8-190C-4D54-ABA9-36DF5D9846C7 Q33705469-98538603-F1AC-4A49-95C7-57095AE3ECBE Q33778174-D5A9EE95-1F49-4FBE-8E5B-4BB08A0350DF Q33787936-A8366AA6-9113-44ED-BC76-8B8F2D349D56 Q33853199-64529219-F82C-4937-8BD9-58557D70536F Q33880006-A9538849-B0F3-41BA-A2A8-4AB2ADC66ADC Q33984763-2F1DB521-8EC4-4B92-B50A-A297ECBB454C Q34016646-2AA7A3CD-9631-48C9-B828-A50F64663ABF Q34374185-644C62B2-32D4-4960-B046-F5AFCE284802 Q34407277-80AC292D-0CD9-4A9A-B90E-DB5D55045521 Q34522752-2A9D6718-911E-495D-8890-72E51D078652 Q34537633-E7EE9A44-9BF3-489D-B4E8-49603DC7DF33 Q34600359-42938E11-E69C-4282-836B-EAD48A0A271D Q34692637-155B288D-C9AB-4613-B5C1-5A44623B2921 Q34996276-F574CE0E-C559-4949-9D64-553E12F5E05E Q35190724-E99AD8E8-3708-4D1D-8EC4-17656513A3A8 Q35221539-0B716530-A8CF-4E68-89D0-93B11044C8E4 Q35390140-B48A2F33-37FD-4B45-B06D-B8DE26B027AF Q35786354-5C162DD6-E787-416D-B29A-DDDA7EF2E431 Q35864121-62EB83BC-6A2E-4563-BFBA-E9F2E5027A4B Q35952184-E628AD95-804C-4B20-A0AC-8E78D4D5456C Q35977357-6B2C6040-3003-42D5-AFD0-2A9B6A54F077 Q36076922-9311E199-DEAA-49BB-8765-3D1DB4AFE529 Q36116126-A5AFFD05-BFB8-4D77-ACE3-C63604DA7224 Q36154451-3E9FD82E-9005-4B7D-ABD2-637682DBB285 Q36440430-BF67D70A-4138-4F26-9E8F-1E3045FEBEC2 Q36512643-60535DD4-F96E-4911-9C0D-37A5D74C261A Q36598979-0C5D8AE0-E01B-4EF2-BE01-9C7796C0BA96

P2860

A model selection approach for the identification of quantitative trait loci in experimental crosses, allowing epistasis.

http://www.wikidata.org/entity/Q30439524

description

2008 nî lūn-bûn

@nan

2008 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած

@hyw

2008 թվականի դեկտեմբերին հրատարակված գիտական հոդված

@hy

2008年の論文

@ja

2008年論文

@yue

2008年論文

@zh-hant

2008年論文

@zh-hk

2008年論文

@zh-mo

2008年論文

@zh-tw

2008年论文

@wuu

name

A model selection approach for ...... l crosses, allowing epistasis.

@ast

A model selection approach for ...... l crosses, allowing epistasis.

@en

type

label

A model selection approach for ...... l crosses, allowing epistasis.

@ast

A model selection approach for ...... l crosses, allowing epistasis.

@en

prefLabel

A model selection approach for ...... l crosses, allowing epistasis.

@ast

A model selection approach for ...... l crosses, allowing epistasis.

@en

P1433

Q30439524-A69C0869-B24F-443B-B61D-A95FEC68B8EC

P1476

Q30439524-EBAC2F23-A46F-465E-A8D9-F54FEB0465FA

P2093

Q30439524-30CCE381-33AC-4DBA-AFFC-1FF8F4912978

Q30439524-52E07925-B569-4B14-BBFB-A44C8610A533

Q30439524-D649FF75-1B88-4462-91B0-3280479902E6

Q30439524-E9150871-CF21-4364-89C9-5FE21A99A63A

P2860

Q30439524-273202D3-2867-4EC8-9FCE-2B7B55A96744

Q30439524-289A4FED-DD82-431D-8619-7D48BA4AFEA6

Q30439524-28E1AB3E-F116-40C8-AEC5-FCF709C99843

Q30439524-325FE574-6D9A-4489-BCE7-7236900D72E1

Q30439524-3555B1C3-6229-459A-AD5B-EFAC2E2C5BE5

Q30439524-3C015799-6659-4BB6-9E87-B38B88588651

Q30439524-3FE6B90C-C52B-4AF3-9879-126DC9AEE883

Q30439524-49400089-0C32-490F-9EF7-A560231B0304

Q30439524-52E5827C-71CB-4236-A663-B65A6528273D

Q30439524-6B8ED95A-0670-4C5C-8F2A-8AEF1C7FE56F

P304

Q30439524-28250CA0-0622-4748-97CA-1B6E931F987E

P31

Q30439524-65FCF905-944C-4940-AADE-1160F105FB01

P356

Q30439524-EF97D094-9688-49E8-885F-ACE66604F079

P407

Q30439524-A8A337FD-AEFF-490B-BCEF-02628D0E1740

P433

Q30439524-BB6C63BB-D17C-43C5-BB76-F6370FCA5510

P478

Q30439524-2ABC403C-39D5-44CC-87A8-F65F4BE222A8

P50

Q30439524-B2AE3376-55C2-4A43-A20D-7BB3FF177FD7

P577

Q30439524-940F0AFF-0EBE-4122-8971-2F553E575AAC

P5875

Q30439524-16CF8938-3920-477A-889C-1571131901E0

P698

Q30439524-E1718A82-12CB-45E7-A27E-D8D9D8CDF355

P932

Q30439524-DEF02850-9CEC-4ED2-B7B6-510C22E5AC80

P356

GENETICS.108.094565

P1433

P1476

A model selection approach for ...... l crosses, allowing epistasis.

@en

P2093

Ani Manichaikul

http://www.w3.org/2001/XMLSchema#string

Brian S Yandell

http://www.w3.org/2001/XMLSchema#string

Jee Young Moon

http://www.w3.org/2001/XMLSchema#string

Saunak Sen

http://www.w3.org/2001/XMLSchema#string

P2860

Empirical threshold values for quantitative trait mapping

R/qtl: QTL mapping in experimental crosses

Mapping mendelian factors underlying quantitative traits using RFLP linkage maps.

A bayesian approach to detect quantitative trait loci using Markov chain Monte Carlo.

Bayesian model selection for genome-wide epistatic quantitative trait loci analysis.

Multiple interval mapping for quantitative trait loci

Bayesian model choice and search strategies for mapping interacting quantitative trait Loci.

Modifying the Schwarz Bayesian information criterion to locate multiple interacting quantitative trait loci.

The X chromosome in quantitative trait locus mapping.

Significance thresholds for quantitative trait locus mapping under selective genotyping.

P304

1077-1086

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1534/GENETICS.108.094565

http://www.w3.org/2001/XMLSchema#string

P407

P433

3

http://www.w3.org/2001/XMLSchema#string

P478

181

http://www.w3.org/2001/XMLSchema#string

P50

P577

2008-12-22T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

23685685

http://www.w3.org/2001/XMLSchema#string

P698

19104078

http://www.w3.org/2001/XMLSchema#string

P932

2651044

http://www.w3.org/2001/XMLSchema#string