Allele-specific expression analysis methods for high-density SNP microarray data | Zendy

Ruijie Liu | Zendy; Ana-Teresa Maia | Zendy; Roslin Russell | Zendy; Carlos Caldas | Zendy; Bruce A.J. Ponder | Zendy; Matthew E. Ritchie | Zendy

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Allele-specific expression analysis methods for high-density SNP microarray data

Author(s) -

Ruijie Liu,

Ana-Teresa Maia,

Roslin Russell,

Carlos Caldas,

Bruce A.J. Ponder,

Matthew E. Ritchie

Publication year - 2012

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/bts089

Subject(s) - genotyping , snp genotyping , single nucleotide polymorphism , snp , computational biology , dna microarray , biology , false positive paradox , molecular inversion probe , outlier , normalization (sociology) , genetics , computer science , data mining , genotype , gene , gene expression , artificial intelligence , sociology , anthropology

In the past decade, a number of technologies to quantify allele-specific expression (ASE) in a genome-wide manner have become available to researchers. We investigate the application of single-nucleotide polymorphism (SNP) microarrays to this task, exploring data obtained from both cell lines and primary tissue for which both RNA and DNA profiles are available.

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