Burt, Dave - The Roslin Institute - University of Edinburgh

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QTL Mapping• QTL not mapped precisely• Confidence intervals for QTL large• Markers account for limited geneticvariation (~4%)32
Genome Wide Selection• Genotype 1000’s <strong>of</strong> markers topredict breeding values• High density SNP panel forwhole genome (e.g. 600K)• QTL close to one or moremarkers• Allows SNP with smallereffects to be used effectively• GWS will account for all QTLand all genetic variation33
Page 1 and 2: Next Generation SequencingCurrent S
Page 3 and 4: First Generation SequencingFrederic
Page 5 and 6: Genetic Maps• Genetic markers (e.
Page 7 and 8: QTL Mapping• QTL not mapped preci
Page 9 and 10: Genomic Tools• Expressed sequence
Page 11 and 12: Genomic Tools• Expressed sequence
Page 13 and 14: Sequencing TechnologiesNGS technolo
Page 15 and 16: Clonal Single Molecule ArraysAttach
Page 17 and 18: Base Calling from Raw DataT G C T A
Page 19 and 20: Applications19
Page 21 and 22: Avian GenomesFlightSmall genomeUniq
Page 23 and 24: Computational Pipeline forEnsembl/C
Page 25 and 26: Changes in gene family size along e
Page 27 and 28: Compare Rates of EvolutionSelection
Page 29 and 30: Rates Mammals > Birdsmovement of B
Page 31: Applications31
Page 35 and 36: % of SNPsNumber of SNPs/cMNumber of
Page 37 and 38: Annotation of SNPs%5045403530252015
Page 39 and 40: Final Panel Selection• 600K panel
Page 41 and 42: Applications of SNP Panel• Genomi
Page 43 and 44: AcknowledgementsFundingBBSRC/Defra
Page 45 and 46: RNA-Seq45
Page 47 and 48: Gene Models: TEF47
Page 49 and 50: Experimental Design• 3 spleen sam
Page 51 and 52: Differential Gene ExpressionGene Sy
Page 53 and 54: Enrichment Analysis: MicroarrayMicr
Page 55 and 56: Advantages of RNA-Seq55
Page 57 and 58: AcknowledgementsFundingBiotechnolog
Page 59: Applications59
Page 62 and 63: MeDIP-Seq: NPAS462
Page 64 and 65: Sequencing TechnologiesNGS technolo
Page 66: Sequencing TechnologiesNGS technolo

Burt, Dave - The Roslin Institute - University of Edinburgh

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