Difference between revisions of "CSB Assignment Week 3"
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==Exercises== | ==Exercises== | ||
+ | No exercises this week: browse the site - the pages linked to the syllabus - and orient yourself about computational systems biology | ||
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+ | ==Pre-reading== | ||
− | + | {{#lst:Genome|reading}} | |
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Revision as of 00:12, 30 January 2012
Assignments for Week 3
Exercises for this week relate to this week's lecture.
Pre-reading for this week will prepare next week's lecture.
Exercises and pre-reading will be topics on next week's quiz.
Contents
Exercises
No exercises this week: browse the site - the pages linked to the syllabus - and orient yourself about computational systems biology
Pre-reading
Abecasis et al. (2012) An integrated map of genetic variation from 1,092 human genomes. Nature 491:56-65. (pmid: 23128226) |
[ PubMed ] [ DOI ] By characterizing the geographic and functional spectrum of human genetic variation, the 1000 Genomes Project aims to build a resource to help to understand the genetic contribution to disease. Here we describe the genomes of 1,092 individuals from 14 populations, constructed using a combination of low-coverage whole-genome and exome sequencing. By developing methods to integrate information across several algorithms and diverse data sources, we provide a validated haplotype map of 38 million single nucleotide polymorphisms, 1.4 million short insertions and deletions, and more than 14,000 larger deletions. We show that individuals from different populations carry different profiles of rare and common variants, and that low-frequency variants show substantial geographic differentiation, which is further increased by the action of purifying selection. We show that evolutionary conservation and coding consequence are key determinants of the strength of purifying selection, that rare-variant load varies substantially across biological pathways, and that each individual contains hundreds of rare non-coding variants at conserved sites, such as motif-disrupting changes in transcription-factor-binding sites. This resource, which captures up to 98% of accessible single nucleotide polymorphisms at a frequency of 1% in related populations, enables analysis of common and low-frequency variants in individuals from diverse, including admixed, populations. |