Literature DB >> 16043891

Growing applications and advancements in microarray technology and analysis tools.

Justine K Peeters1, Peter J Van der Spek.   

Abstract

In today's field of genomics, traditional gene-by-gene approach is not adequate to meet the demand of processing information generated from mapping the complex biology of the human genome. More global views of analyzing the magnitude of information are necessary, such as with microarrays. Microarray technology today is rapidly uncovering broad patterns of genetic activity and showing insight into gene functions, processes, and pathways. With the growing technology, imminent knowledge is being generated looking into transcriptional processes and biological mechanisms from many different organisms and phylogeny. Many tools are being developed to assist with the analysis of such high-throughput data, many applications are being utilized by this technology, and the field is growing and expanding rapidly to accommodate the expanding genomics era.

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Year:  2005        PMID: 16043891     DOI: 10.1385/CBB:43:1:149

Source DB:  PubMed          Journal:  Cell Biochem Biophys        ISSN: 1085-9195            Impact factor:   2.194


  9 in total

1.  Time-resolved Förster-resonance-energy-transfer DNA assay on an active CMOS microarray.

Authors:  David Eric Schwartz; Ping Gong; Kenneth L Shepard
Journal:  Biosens Bioelectron       Date:  2008-04-26       Impact factor: 10.618

2.  Toxicity testing in the 21st century: a vision and a strategy.

Authors:  Daniel Krewski; Daniel Acosta; Melvin Andersen; Henry Anderson; John C Bailar; Kim Boekelheide; Robert Brent; Gail Charnley; Vivian G Cheung; Sidney Green; Karl T Kelsey; Nancy I Kerkvliet; Abby A Li; Lawrence McCray; Otto Meyer; Reid D Patterson; William Pennie; Robert A Scala; Gina M Solomon; Martin Stephens; James Yager; Lauren Zeise
Journal:  J Toxicol Environ Health B Crit Rev       Date:  2010-02       Impact factor: 6.393

3.  Evaluating oligonucleotide properties for DNA microarray probe design.

Authors:  Xiao-Qin Xia; Zhenyu Jia; Steffen Porwollik; Fred Long; Claudia Hoemme; Kai Ye; Carsten Müller-Tidow; Michael McClelland; Yipeng Wang
Journal:  Nucleic Acids Res       Date:  2010-03-17       Impact factor: 16.971

4.  Ultrasensitive on-chip immunoassays with a nanoparticle-assembled photonic crystal.

Authors:  Jin-Hee Han; L Sudheendra; Hee-Joo Kim; Shirley J Gee; Bruce D Hammock; Ian M Kennedy
Journal:  ACS Nano       Date:  2012-09-14       Impact factor: 15.881

5.  A comparison of alternative 60-mer probe designs in an in-situ synthesized oligonucleotide microarray.

Authors:  Danielle L Leiske; Anis Karimpour-Fard; Patrick S Hume; Benjamin D Fairbanks; Ryan T Gill
Journal:  BMC Genomics       Date:  2006-04-04       Impact factor: 3.969

6.  A rapid and inexpensive labeling method for microarray gene expression analysis.

Authors:  Mario Ouellet; Paul D Adams; Jay D Keasling; Aindrila Mukhopadhyay
Journal:  BMC Biotechnol       Date:  2009-11-25       Impact factor: 2.563

7.  The KM-Algorithm Identifies Regulated Genes in Time Series Expression Data.

Authors:  Martina Bremer; R W Doerge
Journal:  Adv Bioinformatics       Date:  2009-10-07

8.  Comparison of Alexa Fluor and CyDye for practical DNA microarray use.

Authors:  Joanne L Ballard; Violet K Peeva; Christopher J S deSilva; Jessica L Lynch; Nigel R Swanson
Journal:  Mol Biotechnol       Date:  2007-07       Impact factor: 2.860

9.  Os odontoideum in identical twins: Comparative gene expression analysis.

Authors:  David Straus; Shunbin Xu; Vincent C Traynelis
Journal:  Surg Neurol Int       Date:  2014-03-20
  9 in total

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