Genotyping and Haplotyping of Human SNPs
Partial Protocol Preview
This section provides a glimpse into the protocol.
The remaining content is hidden due to licensing restrictions, but the full text is available at the following link:
Access Free Full Text.
Corresponding Organization :
Other organizations : Scripps Research Institute, Baylor College of Medicine, Pacific Biosciences (United States), Broad Institute, Chinese Academy of Sciences, Harvard University Press, Fudan University, Chinese University of Hong Kong, University of Hong Kong, Hong Kong University of Science and Technology, Illumina (United States), McGill University, Université de Montréal, Ontario Institute for Cancer Research, University of California, San Francisco, Washington University in St. Louis, University of Cambridge, Columbia University, University of Leicester, Johns Hopkins University, Ann Arbor Center for Independent Living, University of Michigan–Ann Arbor, University of California, Santa Cruz, University of Oxford, University of Chicago, Cape Town HVTN Immunology Laboratory / Hutchinson Centre Research Institute of South Africa, Seattle University, University of Washington, National Institutes of Health, Beijing Normal University, Health Sciences University of Hokkaido, Shinshu University, University of Tsukuba, Howard University, University of Ibadan, Case Western Reserve University, University of Utah, Chinese Academy of Social Sciences, Kyoto University, Nagasaki University, University of Oklahoma, Vanderbilt University, Wellcome Trust, Novartis Foundation, University of Baltimore, University of Maryland, Baltimore
Protocol cited in 756 other protocols
Variable analysis
- Genotyping of SNPs by Perlegen using custom high-density oligonucleotide arrays
- Genotype data
- Haplotypes estimated from genotype data
- Ancestral states at SNPs inferred by parsimony
- Recombination rates and location of recombination hotspots
- QC filters applied as previously described
- Comparison to orthologous bases in the chimpanzee (panTro2) and rhesus macaque (rheMac2) assemblies
Annotations
Based on most similar protocols
As authors may omit details in methods from publication, our AI will look for missing critical information across the 5 most similar protocols.
About PubCompare
Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.
We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.
However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.
Ready to get started?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required
Revolutionizing how scientists
search and build protocols!