Biostatistics 666: Analysis of Low Pass Sequence Data

From Genome Analysis Wiki
Revision as of 23:32, 1 December 2010 by Goncalo (talk | contribs) (Created page with '== Objective == Discussion of the challenges involved in sequencing thousands of individual genomes. Introduction to the analysis of low pass sequence data. == Lecture Notes ==…')
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigationJump to search
The printable version is no longer supported and may have rendering errors. Please update your browser bookmarks and please use the default browser print function instead.

Objective

Discussion of the challenges involved in sequencing thousands of individual genomes. Introduction to the analysis of low pass sequence data.

Lecture Notes

Slides in PDF Format

Recommended Reading

  • The 1000 Genomes Project (2010) A map of human genome variation from population-scale sequencing. Nature 467:1061-73
  • Li Y, Willer CJ, Ding J, Scheet P and Abecasis GR (2010) MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes. Genet Epidemiol 34:816-834
  • Le SQ and Durbin R (2010) SNP detection and genotyping from low-coverage sequencing data on multiple diploid samples. Genome Research (in press)
Retrieved from "http://genome.sph.umich.edu/w/index.php?title=Biostatistics_666:_Analysis_of_Low_Pass_Sequence_Data&oldid=2601"