An improved algorithm for the detection of genomic variation using short oligonucleotide expression microarrays.

ABSTRACT: High-throughput microarray experiments often generate far more biological information than is required to test the experimental hypotheses. Many microarray analyses are considered finished after differential expression and additional analyses are typically not performed, leaving untapped biological information left undiscovered. This is especially true if the microarray experiment is from an ecological study of multiple populations. Comparisons across populations may also contain important genomic polymorphisms, and a subset of these polymorphisms may be identified with microarrays using techniques for the detection of single feature polymorphisms (SFP). SFPs are differences in microarray probe level intensities caused by genetic polymorphisms such as single-nucleotide polymorphisms and sm

SUBMITTER: Settles ML 

PROVIDER: S-EPMC3470765 | biostudies-literature | 2012 Nov

REPOSITORIES: biostudies-literature