397004 Algorithms for SNP-Analysis (S) (SoSe 2004)

After the sequencing of the human genome and it's ongoing functional
annotation, the question regarding the differences in the genome of a
given population arises naturally. These differences are believed to
play a significant role in complex diseases (e.g. Parkinson's,
Alzheimer's). The majority of variations can be characterized by base
substitutions in separate base positions: so called Single Nucleotide
Polymorphisms (SNP).

Of course the diploid nature of the human chromosome set plays a
significant role here. Large research programs are underway to collect
SNP data throughout the world. The high throughput techniques used
today provide genotype information for cost reasons where ideally
haplotype (chromosome specific) information should be gathered. We
want to analyze interesting problems and algorithms that have been
developed in recent years in the area of SNP analysis and haplotype
reconstruction.

Literaturangaben

References:
M.P. Weiner and T.J. Hudson (2002). Introduction to SNPs: Discovery of
Markers for Disease. BioTechniques 32, S4-S13.

D. Altshuler et al. (2000). An SNP map of the human genome generated by
reduced representation shotgun sequencing. Nature 407, 513-516.

Externe Kommentarseite

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