Difference between revisions of "Biostatistics 666: Haplotype Estimation"
From Genome Analysis Wiki
Jump to navigationJump to search (Created page with '== Objective == This lecture introduces several strategies for estimating individual haplotypes and their frequencies. At heart, all population-based haplotyping algorithms look…') |
(→Slides) |
||
(2 intermediate revisions by the same user not shown) | |||
Line 5: | Line 5: | ||
== Slides == | == Slides == | ||
− | [[Media:666. | + | [[Media:666.2017.09_-_Haplotype_Estimation.pdf|Slides in PDF Format]] |
== Recommended Reading == | == Recommended Reading == |
Latest revision as of 08:37, 9 October 2017
Objective
This lecture introduces several strategies for estimating individual haplotypes and their frequencies. At heart, all population-based haplotyping algorithms look for haplotypes that are shared across multiple individuals. The simplest approach for haplotyping using this information is Clark's 1990 algorithm, which is intuitively simple but quite effective in a variety of settings. The E-M algorithm, which provides an important refinements at the cost of more computation, is also introduced. Further refined methods are also discussed.
Slides
Recommended Reading
Clark (1990) Mol Biol Evol 7:111-122
Excoffier and Slatkin (1995) Mol Biol Evol 12:921-927