連鎖分析與基因定位 王建康 李慧慧 張魯燕 9787030757616 【台灣高等教育出版社】

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書名:連鎖分析與基因定位
ISBN:9787030757616
出版社:科學
著編譯者:王建康 李慧慧 張魯燕
頁數:532
所在地:中國大陸 *此為代購商品
書號:1563892
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內容簡介

本書建立在作者十多年科研和教學的基礎之上,全書可分為三部分。第1章為第一部分,介紹遺傳研究群體,主要內容包括常見群體類型、基因型數據的初步整理和分析、基因效應和遺傳方差的定義和計算、單環境和多環境表型觀測值的方差分析、以及基因型值和遺傳力的估計等內容。第2∼3章為第二部分,介紹雙親群體連鎖分析和遺傳圖譜構建,主要內容包括世代轉移矩陣、兩個座位上基因型的理論頻率、兩個基因座位間重組率的估算、作圖函數和遺傳圖譜構建演算法等內容。第4∼10章為第三部分,介紹數量性狀基因的作圖原理和方法,主要內容包括單標記分析、簡單區間作圖、完備區間作圖方法、上位型互作、與環境互作的QTL作圖,以及有選擇群體、自然群體、無性系雜交群體和多親本群體的基因定位等內容。

目錄

Preface
CHAPTER 1 PopulationsinGeneticStudies
1 1 CommonlyUsedPopulationsinGeneticStudies
1 1 1 Bi-ParentalPopulations
1 1 2 Multi-ParentalPopulations
1 1 3 Considerations in Developing Genetic Populations
1 2 PreliminaryAnalysisofGenotypicData
1 2 1 CollectionandCodingofGenotypicData
1 2 2 Gene Frequency and Genotypic Frequency
1 2 3 FitnessTestonGenotypicFrequencies
1 3 GeneticEffectandGeneticVariance
1 3 1 Calculation of Population Mean and Phenotypic Variance
1 3 2 One-Locus Additive and Dominance Model
1 3 3 Population Mean and Genetic Variance at One Locus
1 4 ANOVAonSingleEnvironmentTrials
1 4 1 Linear Decomposition on Phenotypic Observation
1 4 2 Decomposition of Sum of Squares of Phenotypic Deviations
1 4 3 Single Environmental ANOVA on Rice Grain Length
1 5 ANOVAonMulti-EnvironmentTrials
1 5 1 Linear Decomposition on Phenotypic Observation
1 5 2 Decomposition of Sum of Squares of Phenotypic Deviations
1 5 3 Multi-Environmental ANOVA on Rice Grain Length
1 6 Estimation of Genotypic Values and the Broad-Sense Heritability
1 6 1 Genotypic Values and Broad-Sense Heritability fromSingleEnvironmentalTrials
1 6 2 Genotypic Values and Broad-Sense Heritability fromMulti-EnvironmentalTrials
1 6 3 Estimation of Genotypic Values Under Heterogeneous Error Variances 42 Exercises
CHAPTER 2 Estimation of the Two-Point Recombination Frequencies
2 1 GenerationTransitionMatrix
2 1 1 Usefulness of the Transition Matrix in Linkage Analysis
2 1 2 Transition Matrix of One Generation of Backcrossing
2 1 3 Transition Matrix of One Generation of Selfing
2 1 4 TransitionMatrixofDoubledHaploid
2 1 5 TransitionMatrixofRepeatedSelfing
2 1 6 Expression of the Two-Locus Genotypic Frequencies inMatrixFormat
2 2 Theoretical Genotypic Frequencies at Two Loci
2 2 1 Theoretical Frequencies of 10 Genotypes at Two Loci
2 2 2 Theoretical Frequencies of 4 Homozygotes in Permanent Populations
2 2 3 Genotypic Frequencies of Two Co-Dominant Loci inTemporaryPopulations
2 2 4 Genotypic Frequencies of One Co-Dominant Locus and One Dominant Locus in Temporary Populations
2 2 5 Genotypic Frequencies of One Co-Dominant Locus and One Recessive Locus in Temporary Populations
2 2 6 Genotypic Frequencies of Two Dominant Loci in Temporary Populations
2 2 7 Genotypic Frequencies of One Dominant Locus and One Recessive Locus in Temporary Populations
2 2 8 Genotypic Frequencies of Two Recessive Loci in Temporary Populations
2 3 Estimation of Two-Point Recombination Frequency
2 3 1 Maximum Likelihood Estimation of Recombination FrequencyinDHPopulations
2 3 2 General Procedure on the Maximum Likelihood Estimation ofRecombinationFrequency
2 3 3 Estimation of Recombination Frequency Between One Co-Dominant and One Dominant Marker in F2 population
2 3 4 InitialValuesinNewtonAlgorithm
2 3 5 EM Algorithm in Estimating Recombination Frequency in F2 Populations
2 3 6 Effects on the Estimation of Recombination Frequency from SegregationDistortion
Exercises
CHAPTER 3 Three-Point Analysis and Linkage Map Construction
3 1 Three-Point Analysis and Mapping Function
3 1 1 Genetic Interference and Coefficient of Interference
3 1 2 Mapping Function
3 2 ConstructionofGeneticLinkageMaps
3 2 1 MarkerGroupingAlgorithm
3 2 2 MarkerOrderingAlgorithm
3 2 3 Use of the k-Optimal Algorithm in Linkage Map Construction
3 2 4 RipplingoftheOrderedMarkers
3 2 5 IntegrationofMultipleMaps
3 3 Comparison of the Recombination Frequency Estimation in Different Populations
3 3 1 LOD Score in Testing the Linkage Relationship in Different Populations
3 3 2 Accuracy of the Estimated Recombination Frequency
3 3 3 Least Population Size to Declare the Significant Linkage Relationshi
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