Estimation and assessment of raw copy numbers at the single locus level
Author(s) -
Henrik Bengtsson,
Rafael A. Irizarry,
Benilton S. Carvalho,
Terence P. Speed
Publication year - 2008
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btn016
Subject(s) - locus (genetics) , single nucleotide polymorphism , biology , genetics , international hapmap project , computational biology , allele , preprocessor , snp , computer science , genotype , artificial intelligence , gene
Although copy-number aberrations are known to contribute to the diversity of the human DNA and cause various diseases, many aberrations and their phenotypes are still to be explored. The recent development of single-nucleotide polymorphism (SNP) arrays provides researchers with tools for calling genotypes and identifying chromosomal aberrations at an order-of-magnitude greater resolution than possible a few years ago. The fundamental problem in array-based copy-number (CN) analysis is to obtain CN estimates at a single-locus resolution with high accuracy and precision such that downstream segmentation methods are more likely to succeed.
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