Literature DB >> 17008090

Using DNA microarrays to study natural variation.

Yoav Gilad1, Justin Borevitz.   

Abstract

The emerging field of genomics examines the relationship between genetic and phenotypic variation by describing and analyzing patterns of natural variation on a genome-wide scale. In this endeavor, an important tool is the use of microarrays, which enable simultaneous screening of thousands of assays. Microarrays were originally designed for the detection of differences between samples and are thus ideally suited to high-throughput studies of natural variation. Novel microarray platforms enable the high throughput survey of variation at multiple levels, including DNA sequences, gene expression, protein binding, and methylation. However, most microarray data analysis tools, notably normalization methods, were developed for experiments in which only few features differed between samples. In studies of natural variation, this assumption does not always hold, raising a number of new challenges.

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Year:  2006        PMID: 17008090     DOI: 10.1016/j.gde.2006.09.005

Source DB:  PubMed          Journal:  Curr Opin Genet Dev        ISSN: 0959-437X            Impact factor:   5.578


  25 in total

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2.  Population transcriptomics: insights from Drosophila simulans, Drosophila sechellia and their hybrids.

Authors:  François Wurmser; David Ogereau; Tristan Mary-Huard; Béatrice Loriod; Dominique Joly; Catherine Montchamp-Moreau
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3.  Evolution of alternative splicing in primate brain transcriptomes.

Authors:  Lan Lin; Shihao Shen; Peng Jiang; Seiko Sato; Beverly L Davidson; Yi Xing
Journal:  Hum Mol Genet       Date:  2010-05-11       Impact factor: 6.150

4.  Advances in genetical genomics of plants.

Authors:  R V L Joosen; W Ligterink; H W M Hilhorst; J J B Keurentjes
Journal:  Curr Genomics       Date:  2009-12       Impact factor: 2.236

5.  Single feature polymorphism (SFP)-based selective sweep identification and association mapping of growth-related metabolic traits in Arabidopsis thaliana.

Authors:  Liam H Childs; Hanna Witucka-Wall; Torsten Günther; Ronan Sulpice; Maria V Korff; Mark Stitt; Dirk Walther; Karl J Schmid; Thomas Altmann
Journal:  BMC Genomics       Date:  2010-03-20       Impact factor: 3.969

6.  High-resolution genotyping via whole genome hybridizations to microarrays containing long oligonucleotide probes.

Authors:  Yan Fu; Nathan M Springer; Kai Ying; Cheng-Ting Yeh; A Leonardo Iniguez; Todd Richmond; Wei Wu; Brad Barbazuk; Dan Nettleton; Jeff Jeddeloh; Patrick S Schnable
Journal:  PLoS One       Date:  2010-12-02       Impact factor: 3.240

7.  Quantifying whole transcriptome size, a prerequisite for understanding transcriptome evolution across species: an example from a plant allopolyploid.

Authors:  Jeremy E Coate; Jeff J Doyle
Journal:  Genome Biol Evol       Date:  2010-07-05       Impact factor: 3.416

Review 8.  Revealing the architecture of gene regulation: the promise of eQTL studies.

Authors:  Yoav Gilad; Scott A Rifkin; Jonathan K Pritchard
Journal:  Trends Genet       Date:  2008-07-01       Impact factor: 11.639

Review 9.  Characterizing natural variation using next-generation sequencing technologies.

Authors:  Yoav Gilad; Jonathan K Pritchard; Kevin Thornton
Journal:  Trends Genet       Date:  2009-10-02       Impact factor: 11.639

10.  Using high-density exon arrays to profile gene expression in closely related species.

Authors:  Lan Lin; Song Liu; Heather Brockway; Junhee Seok; Peng Jiang; Wing Hung Wong; Yi Xing
Journal:  Nucleic Acids Res       Date:  2009-05-27       Impact factor: 16.971

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