Literature DB >> 15212585

Microarray platforms--comparisons and contrasts.

Gary Hardiman1.   

Abstract

In the relatively few years since their inception, DNA microarrays and Affymetrix GeneChips have gained increasing use and acceptance in the study of genetic and cellular processes. This is evident from the rising number of published literature citing microarrays each year. With time, gene chips and microarrays have matured into complex technologies as biologists have teamed with applied mathematicians and statisticians to increase the rigor of experimentation and address the problems associated with the manipulation of large data sets. Several complementary microarray technologies for measuring gene expression are now routinely employed. This review will discuss the similarities and differences among these technologies and cover recent efforts to integrate data from cross-platform comparative studies.

Mesh:

Year:  2004        PMID: 15212585     DOI: 10.1517/14622416.5.5.487

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  36 in total

1.  Array Comparative Genomic Hybridizations: assessing the ability to recapture evolutionary relationships using an in silico approach.

Authors:  Luz B Gilbert; Lee Chae; Takao Kasuga; John W Taylor
Journal:  BMC Genomics       Date:  2011-09-21       Impact factor: 3.969

2.  Microarray methods in Drosophila neurobiology.

Authors:  Christopher J Mee
Journal:  Invert Neurosci       Date:  2005-10-24

Review 3.  Reliability and reproducibility issues in DNA microarray measurements.

Authors:  Sorin Draghici; Purvesh Khatri; Aron C Eklund; Zoltan Szallasi
Journal:  Trends Genet       Date:  2005-12-27       Impact factor: 11.639

Review 4.  Transcriptional analysis of endocrine disruption using zebrafish and massively parallel sequencing.

Authors:  Michael E Baker; Gary Hardiman
Journal:  J Mol Endocrinol       Date:  2014-06       Impact factor: 5.098

5.  Nonvolatile copolymer compositions for fabricating gel element microarrays.

Authors:  Julia B Golova; Boris K Chernov; Alexander N Perov; Jennifer Reynolds; Yvonne L Linger; Alexander Kukhtin; Darrell P Chandler
Journal:  Anal Biochem       Date:  2011-10-05       Impact factor: 3.365

Review 6.  A statistical framework for applying RNA profiling to chemical hazard detection.

Authors:  Mitchell S Kostich
Journal:  Chemosphere       Date:  2017-08-28       Impact factor: 7.086

7.  Global gene expression profiling of formalin-fixed paraffin-embedded tumor samples: a comparison to snap-frozen material using oligonucleotide microarrays.

Authors:  Matthias Frank; Claudia Döring; Dirk Metzler; Susan Eckerle; Martin-Leo Hansmann
Journal:  Virchows Arch       Date:  2007-05-04       Impact factor: 4.064

Review 8.  Review of the literature examining the correlation among DNA microarray technologies.

Authors:  Carole L Yauk; M Lynn Berndt
Journal:  Environ Mol Mutagen       Date:  2007-06       Impact factor: 3.216

9.  Transcriptional analysis of the pre-erythrocytic stages of the rodent malaria parasite, Plasmodium yoelii.

Authors:  Calvin T Williams; Abdu F Azad
Journal:  PLoS One       Date:  2010-04-21       Impact factor: 3.240

10.  Gene expression profiling in peanut using high density oligonucleotide microarrays.

Authors:  Paxton Payton; Kameswara Rao Kottapalli; Diane Rowland; Wilson Faircloth; Baozhu Guo; Mark Burow; Naveen Puppala; Maria Gallo
Journal:  BMC Genomics       Date:  2009-06-12       Impact factor: 3.969

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