Literature DB >> 11808684

DNA array analysis in a Microsoft Windows environment.

T Conway1, B Kraus, D L Tucker, D J Smalley, A F Dorman, L McKibben.   

Abstract

Microsoft Windows-based computers have evolved to the point that they provide sufficient computational and visualization power for robust analysis of DNA array data. In fact, smaller laboratories might prefer to carry out some or all of their analyses and visualization in a Windows environment, rather than alternative platforms such as UNIX. We have developed a series of manually executed macros written in Visual Basic for Microsoft Excel spreadsheets, that allows for rapid and comprehensive gene expression data analysis. The first macro assigns gene names to spots on the DNA array and normalizes individual hybridizations by expressing the signal intensity for each gene as a percentage of the sum of all gene intensities. The second macro streamlines statistical consideration of the confidence in individual gene measurements for sets of experimental replicates by calculating probability values with the Student's t test. The third macro introduces a threshold value, calculates expression ratios between experimental conditions, and calculates the standard deviation of the mean of the log ratio values. Selected columns of data are copied by a fourth macro to create a processed data set suitable for entry into a Microsoft Access database. An Access database structure is described that allows simple queries across multiple experiments and export of data into third-party data visualization software packages. These analysis tools can be used in their present form by others working with commercial E. coli membrane arrays, or they may be adapted for use with other systems. The Excel spreadsheets with embedded Visual Basic macros and detailed instructions for their use are available at http://www.ou.edu/microarray.

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Year:  2002        PMID: 11808684     DOI: 10.2144/02321bc02

Source DB:  PubMed          Journal:  Biotechniques        ISSN: 0736-6205            Impact factor:   1.993


  11 in total

1.  YbdG in Escherichia coli is a threshold-setting mechanosensitive channel with MscM activity.

Authors:  Ulrike Schumann; Michelle D Edwards; Tim Rasmussen; Wendy Bartlett; Pieter van West; Ian R Booth
Journal:  Proc Natl Acad Sci U S A       Date:  2010-06-28       Impact factor: 11.205

2.  Gene expression profiling of the pH response in Escherichia coli.

Authors:  Don L Tucker; Nancy Tucker; Tyrrell Conway
Journal:  J Bacteriol       Date:  2002-12       Impact factor: 3.490

3.  Genes of the GadX-GadW regulon in Escherichia coli.

Authors:  Don L Tucker; Nancy Tucker; Zhuo Ma; John W Foster; Regina L Miranda; Paul S Cohen; Tyrrell Conway
Journal:  J Bacteriol       Date:  2003-05       Impact factor: 3.490

4.  Transcriptional organization and regulation of the L-idonic acid pathway (GntII system) in Escherichia coli.

Authors:  Christoph Bausch; Matthew Ramsey; Tyrrell Conway
Journal:  J Bacteriol       Date:  2004-03       Impact factor: 3.490

5.  Global analysis of Borrelia burgdorferi genes regulated by mammalian host-specific signals.

Authors:  Chad S Brooks; P Scott Hefty; Sarah E Jolliff; Darrin R Akins
Journal:  Infect Immun       Date:  2003-06       Impact factor: 3.441

6.  Carbon nutrition of Escherichia coli in the mouse intestine.

Authors:  Dong-Eun Chang; Darren J Smalley; Don L Tucker; Mary P Leatham; Wendy E Norris; Sarah J Stevenson; April B Anderson; Joe E Grissom; David C Laux; Paul S Cohen; Tyrrell Conway
Journal:  Proc Natl Acad Sci U S A       Date:  2004-05-03       Impact factor: 11.205

7.  Whole-genome DNA array analysis of the response of Borrelia burgdorferi to a bactericidal monoclonal antibody.

Authors:  Julie M Anderton; Rafal Tokarz; Charles D Thill; Christopher J Kuhlow; Chad S Brooks; Darrin R Akins; Laura I Katona; Jorge L Benach
Journal:  Infect Immun       Date:  2004-04       Impact factor: 3.441

8.  Enhanced production of insulin-like growth factor I fusion protein in Escherichia coli by coexpression of the down-regulated genes identified by transcriptome profiling.

Authors:  Jong Hyun Choi; Sang Jun Lee; Seok Jae Lee; Sang Yup Lee
Journal:  Appl Environ Microbiol       Date:  2003-08       Impact factor: 4.792

9.  Characterization of three novel mechanosensitive channel activities in Escherichia coli.

Authors:  Michelle D Edwards; Susan Black; Tim Rasmussen; Akiko Rasmussen; Neil R Stokes; Terri-Leigh Stephen; Samantha Miller; Ian R Booth
Journal:  Channels (Austin)       Date:  2012-07-01       Impact factor: 2.581

10.  Characterization of Escherichia coli MG1655 grown in a low-shear modeled microgravity environment.

Authors:  Don L Tucker; C Mark Ott; Stephen Huff; Yuriy Fofanov; Duane L Pierson; Richard C Willson; George E Fox
Journal:  BMC Microbiol       Date:  2007-03-07       Impact factor: 3.605

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