ABSTRACT: A high density SNP chip for genotyping great tit (Parus major) populations and its application to studying the genetic architecture of exploration behaviour
Project description:The great tit is a widely studied passerine bird species in ecology that, in the past decades, has provided important insights into speciation, phenology, behavior and microevolution. After completion of the great tit genome sequence, a customized high density 650k SNP array was developed enabling more detailed genomic studies in this species.
Project description:The publicly available genome sequence information of two rice strains, japonica cultivar Nipponbare and indica cultivar 93-11, opens a great opportunity for investigation of performances DNA genotyping by high-density oligonucleotide arrays. Here, we compare single feature polymorphism (SFP) detection performances between whole genome hybridization and transcript hybridization using Affymetrix Rice Expression Array and the two rice cultivars.
2010-06-01 | GSE16341 | GEO
Project description:Effects of environmental pollution on great tit DNA methylation profile
Project description:The association of genetic variation with disease and drug response, together with improvements in nucleic acids technologies, has given great optimism for the impact of 'genomic medicine'. However, the formidable size of the diploid human genome has prevented the routine application of sequencing methods to deciphering complete individual human genomes, and has so far limited the realization of the full potential of genomics for science and human health. Working towards the goal of harnessing the power of genomics, we sequenced the diploid genome of a single individual, Dr. James D. Watson, using a massively-parallel method of sequencing in picoliter size reaction vessels. Here we report the results of genotyping the subject's DNA using an Affymetrix 500k GeneChip as well as copy number variations as reported by Agilent 244k comparative genomic hybridization arrays. Keywords: Genotyping, copy number variation (CNV), aCGH
