[ABE-L] Seminários em High Dimension Data Analysis

[Ronaldo Dias]

Prezados(as)

Estamos de volta com nossos seminários em Análise de Dados em Alta Dimensão
( <AD,AD> )

Quarta-feira, as 13hs, sala 221.
Nesta semana teremos

*Using SNP Array Data for Genotype Inference*

*Benilton S Carvalho*



With the development of Precision Medicine, i.e., the use of personal
genomic information to further improve diagnostics and treatment, data
analysts face more frequently the necessity of dealing with larger volumes
of data. One common task in this context is genotyping, where the
investigator uses data on allele-specific relative abundances to identify
the subject’s version of the genome at a particular position. This position
that is likely to host “different versions of the genome” (genotype) for
each subject is called Single Nucleotide Polymorphism, SNP. SNPs are
observed at every 100-300 nucleotides, adding up to possibly 30 million
markers. There are different technologies that provide data for one to
infer genotypes starting from a DNA sample. The two most popular
technologies are microarrays and next-generation sequencing. In this talk,
we will discuss CRLMM, a genotyping methodology developed from SNP
microarrays, which has been used successfully in several studies, including
the BRAINN RIDC.



-- 
Ronaldo Dias
Professor
Dept. of Statistics-IMECC, UNICAMP
www.ime.unicamp.br/~dias
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