메뉴 건너뛰기




Volumn 497, Issue , 2011, Pages 75-113

Using DNA microarrays to assay part function

Author keywords

[No Author keywords available]

Indexed keywords

BACTERIAL DNA; BACTERIAL RNA; COMPLEMENTARY DNA;

EID: 79957456837     PISSN: 00766879     EISSN: 15577988     Source Type: Book Series    
DOI: 10.1016/B978-0-12-385075-100004-4     Document Type: Article
Times cited : (7)

References (73)
  • 2
    • 29244448340 scopus 로고    scopus 로고
    • Microarray data analysis: From disarray to consolidation and consensus
    • DOI 10.1038/nrg1749
    • D.B. Allison, X. Cui, G.P. Page, and M. Sabripour Microarray data analysis: From disarray to consolidation and consensus Nat. Rev. Genet. 7 2006 55 65 (Pubitemid 41828948)
    • (2006) Nature Reviews Genetics , vol.7 , Issue.1 , pp. 55-65
    • Allison, D.B.1    Cui, X.2    Page, G.P.3    Sabripour, M.4
  • 5
    • 0034948896 scopus 로고    scopus 로고
    • A Bayesian framework for the analysis of microarray expression data: Regularized t-test and statistical inferences of gene changes
    • P. Baldi, and A.D. Long A Bayesian framework for the analysis of microarray expression data: Regularized t -test and statistical inferences of gene changes Bioinformatics 17 2001 509 519 (Pubitemid 32600497)
    • (2001) Bioinformatics , vol.17 , Issue.6 , pp. 509-519
    • Baldi, P.1    Long, A.D.2
  • 8
    • 77955155869 scopus 로고    scopus 로고
    • Base pairing small RNAs and their roles in global regulatory networks
    • C.L. Beisel, and G. Storz Base pairing small RNAs and their roles in global regulatory networks FEMS Microbiol. Rev. 34 2010 866 882
    • (2010) FEMS Microbiol. Rev. , vol.34 , pp. 866-882
    • Beisel, C.L.1    Storz, G.2
  • 9
    • 0001677717 scopus 로고
    • Controlling the false discovery rateA practical and powerful approach to multiple testing
    • Y. Benjamini, and Y. Hochberg Controlling the false discovery rateA practical and powerful approach to multiple testing J. R. Stat. Soc. B Methodol. 57 1995 289 300
    • (1995) J. R. Stat. Soc. B Methodol. , vol.57 , pp. 289-300
    • Benjamini, Y.1    Hochberg, Y.2
  • 10
    • 80055111233 scopus 로고    scopus 로고
    • Bacterial gene expression analysis using microarrays
    • S. Beyhan, and F. Yildiz Bacterial gene expression analysis using microarrays J. Vis. Exp. 4 2007 206
    • (2007) J. Vis. Exp. , vol.4 , pp. 206
    • Beyhan, S.1    Yildiz, F.2
  • 11
    • 0037316303 scopus 로고    scopus 로고
    • A comparison of normalization methods for high density oligonucleotide array data based on variance and bias
    • DOI 10.1093/bioinformatics/19.2.185
    • B.M. Bolstad, R.A. Irizarry, M. Astrand, and T.P. Speed A comparison of normalization methods for high density oligonucleotide array data based on variance and bias Bioinformatics 19 2003 185 193 (Pubitemid 36181903)
    • (2003) Bioinformatics , vol.19 , Issue.2 , pp. 185-193
    • Bolstad, B.M.1    Irizarry, R.A.2    Astrand, M.3    Speed, T.P.4
  • 13
    • 23844434593 scopus 로고    scopus 로고
    • Unsupervised pattern recognition: An introduction to the whys and wherefores of clustering microarray data
    • DOI 10.1093/bib/6.4.331
    • P.C. Boutros, and A.B. Okey Unsupervised pattern recognition: An introduction to the whys and wherefores of clustering microarray data Brief. Bioinform. 6 2005 331 343 (Pubitemid 43091939)
    • (2005) Briefings in Bioinformatics , vol.6 , Issue.4 , pp. 331-343
    • Boutros, P.C.1    Okey, A.B.2
  • 14
    • 33847221847 scopus 로고    scopus 로고
    • Elimination of laboratory ozone leads to a dramatic improvement in the reproducibility of microarray gene expression measurements
    • W.S. Branham, C.D. Melvin, T. Han, V.G. Desai, C.L. Moland, A.T. Scully, and J.C. Fuscoe Elimination of laboratory ozone leads to a dramatic improvement in the reproducibility of microarray gene expression measurements BMC Biotechnol. 7 2007 8
    • (2007) BMC Biotechnol. , vol.7 , pp. 8
    • Branham, W.S.1    Melvin, C.D.2    Han, T.3    Desai, V.G.4    Moland, C.L.5    Scully, A.T.6    Fuscoe, J.C.7
  • 19
    • 18744378860 scopus 로고    scopus 로고
    • Empirical Bayes screening of many p-values with applications to microarray studies
    • DOI 10.1093/bioinformatics/bti301
    • S. Datta Empirical Bayes screening of many p-values with applications to microarray studies Bioinformatics 21 2005 1987 1994 (Pubitemid 40668036)
    • (2005) Bioinformatics , vol.21 , Issue.9 , pp. 1987-1994
    • Datta, S.1    Datta, S.2
  • 20
    • 28644449917 scopus 로고    scopus 로고
    • How does gene expression clustering work?
    • DOI 10.1038/nbt1205-1499
    • P. D'Haeseleer How does gene expression clustering work? Nat. Biotechnol. 23 2005 1499 1501 (Pubitemid 41752926)
    • (2005) Nature Biotechnology , vol.23 , Issue.12 , pp. 1499-1501
    • D'Haeseleer, P.1
  • 22
    • 0043203327 scopus 로고    scopus 로고
    • Multiple hypothesis testing in microarray experiments
    • DOI 10.1214/ss/1056397487
    • S. Dudoit, J.P. Shaffer, and J.C. Boldrick Multiple hypothesis testing in microarray experiments Stat. Sci. 18 2003 71 103 (Pubitemid 41461823)
    • (2003) Statistical Science , vol.18 , Issue.1 , pp. 71-103
    • Dudoit, S.1    Shaffer, J.P.2    Boldrick, J.C.3
  • 24
    • 0034688173 scopus 로고    scopus 로고
    • A synthetic oscillatory network of transcriptional regulators
    • DOI 10.1038/35002125
    • M.B. Elowitz, and S. Leibler A synthetic oscillatory network of transcriptional regulators Nature 403 2000 335 338 (Pubitemid 30062393)
    • (2000) Nature , vol.403 , Issue.6767 , pp. 335-338
    • Elowitz, M.B.1    Leibier, S.2
  • 27
    • 33846435742 scopus 로고    scopus 로고
    • Microarray-based analysis of microbial community RNAs by whole-community RNA amplification
    • DOI 10.1128/AEM.01771-06
    • H. Gao, Z.K. Yang, T.J. Gentry, L. Wu, C.W. Schadt, and J. Zhou Microarray-based analysis of microbial community RNAs by whole-community RNA amplification Appl. Environ. Microbiol. 73 2007 563 571 (Pubitemid 46147587)
    • (2007) Applied and Environmental Microbiology , vol.73 , Issue.2 , pp. 563-571
    • Gao, H.1    Yang, Z.K.2    Gentry, T.J.3    Wu, L.4    Schadt, C.W.5    Zhou, J.6
  • 31
    • 50949122967 scopus 로고    scopus 로고
    • Design and construction of a double inversion recombination switch for heritable sequential genetic memory
    • T.S. Ham, S.K. Lee, J.D. Keasling, and A.P. Arkin Design and construction of a double inversion recombination switch for heritable sequential genetic memory PLoS ONE 3 2008 e2815
    • (2008) PLoS ONE , vol.3 , pp. 2815
    • Ham, T.S.1    Lee, S.K.2    Keasling, J.D.3    Arkin, A.P.4
  • 32
    • 56749151013 scopus 로고    scopus 로고
    • Small membrane proteins found by comparative genomics and ribosome binding site models
    • M.R. Hemm, B.J. Paul, T.D. Schneider, G. Storz, and K.E. Rudd Small membrane proteins found by comparative genomics and ribosome binding site models Mol. Microbiol. 70 2008 1487 1501
    • (2008) Mol. Microbiol. , vol.70 , pp. 1487-1501
    • Hemm, M.R.1    Paul, B.J.2    Schneider, T.D.3    Storz, G.4    Rudd, K.E.5
  • 33
    • 73849144298 scopus 로고    scopus 로고
    • Small stress response proteins in Escherichia coli: Proteins missed by classical proteomic studies
    • M.R. Hemm, B.J. Paul, J. Miranda-Rios, A. Zhang, N. Soltanzad, and G. Storz Small stress response proteins in Escherichia coli: Proteins missed by classical proteomic studies J. Bacteriol. 192 2010 46 58
    • (2010) J. Bacteriol. , vol.192 , pp. 46-58
    • Hemm, M.R.1    Paul, B.J.2    Miranda-Rios, J.3    Zhang, A.4    Soltanzad, N.5    Storz, G.6
  • 39
    • 0037114470 scopus 로고    scopus 로고
    • Power and sample size for DNA microarray studies
    • DOI 10.1002/sim.1335
    • M.L. Lee, and G.A. Whitmore Power and sample size for DNA microarray studies Stat. Med. 21 2002 3543 3570 (Pubitemid 35363540)
    • (2002) Statistics in Medicine , vol.21 , Issue.23 , pp. 3543-3570
    • Lee, M.-L.T.1    Whitmore, G.A.2
  • 40
    • 57049098094 scopus 로고    scopus 로고
    • Metabolic engineering of microorganisms for biofuels production: From bugs to synthetic biology to fuels
    • S.K. Lee, H. Chou, T.S. Ham, T.S. Lee, and J.D. Keasling Metabolic engineering of microorganisms for biofuels production: From bugs to synthetic biology to fuels Curr. Opin. Biotechnol. 19 2008 556 563
    • (2008) Curr. Opin. Biotechnol. , vol.19 , pp. 556-563
    • Lee, S.K.1    Chou, H.2    Ham, T.S.3    Lee, T.S.4    Keasling, J.D.5
  • 41
    • 23244433960 scopus 로고    scopus 로고
    • FDR-controlling testing procedures and sample size determination for microarrays
    • DOI 10.1002/sim.2119
    • S.S. Li, J. Bigler, J.W. Lampe, J.D. Potter, and Z. Feng FDR-controlling testing procedures and sample size determination for microarrays Stat. Med. 24 2005 2267 2280 (Pubitemid 41093914)
    • (2005) Statistics in Medicine , vol.24 , Issue.15 , pp. 2267-2280
    • Li, S.S.1    Bigler, J.2    Lampe, J.W.3    Potter, J.D.4    Feng, Z.5
  • 42
    • 33745618956 scopus 로고    scopus 로고
    • 32, reveals a multifaceted cellular response to heat stress
    • DOI 10.1101/gad.1428206
    • G. Nonaka, M. Blankschien, C. Herman, C.A. Gross, and V.A. Rhodius Regulon and promoter analysis of the E. coli heat-shock factor, sigma32, reveals a multifaceted cellular response to heat stress Genes Dev. 20 2006 1776 1789 (Pubitemid 43992886)
    • (2006) Genes and Development , vol.20 , Issue.13 , pp. 1776-1789
    • Nonaka, G.1    Blankschien, M.2    Herman, C.3    Gross, C.A.4    Rhodius, V.A.5
  • 43
    • 30944465851 scopus 로고    scopus 로고
    • Quenching of microbial samples for increased reliability of microarray data
    • DOI 10.1016/j.mimet.2005.04.035, PII S0167701205001417
    • B. Pieterse, R.H. Jellema, and M.J. van der Werf Quenching of microbial samples for increased reliability of microarray data J. Microbiol. Methods 64 2006 207 216 (Pubitemid 43112119)
    • (2006) Journal of Microbiological Methods , vol.64 , Issue.2 , pp. 207-216
    • Pieterse, B.1    Jellema, R.H.2    Van Der Werf, M.J.3
  • 44
    • 0038156106 scopus 로고    scopus 로고
    • Estimating the occurrence of false positives and false negatives in microarray studies by approximating and partitioning the empirical distribution of p-values
    • DOI 10.1093/bioinformatics/btg148
    • S. Pounds, and S.W. Morris Estimating the occurrence of false positives and false negatives in microarray studies by approximating and partitioning the empirical distribution of p-values Bioinformatics 19 2003 1236 1242 (Pubitemid 36850216)
    • (2003) Bioinformatics , vol.19 , Issue.10 , pp. 1236-1242
    • Pounds, S.1    Morris, S.W.2
  • 45
    • 0035375137 scopus 로고    scopus 로고
    • Computational analysis of microarray data
    • DOI 10.1038/35076576
    • J. Quackenbush Computational analysis of microarray data Nat. Rev. Genet. 2 2001 418 427 (Pubitemid 33673408)
    • (2001) Nature Reviews Genetics , vol.2 , Issue.6 , pp. 418-427
    • Quackenbush, J.1
  • 47
    • 57349199022 scopus 로고    scopus 로고
    • Technical considerations in using DNA microarrays to define regulons
    • V.A. Rhodius, and J.T. Wade Technical considerations in using DNA microarrays to define regulons Methods 47 2009 63 72
    • (2009) Methods , vol.47 , pp. 63-72
    • Rhodius, V.A.1    Wade, J.T.2
  • 48
    • 0036407715 scopus 로고    scopus 로고
    • Impact of genomic technologies on studies of bacterial gene expression
    • DOI 10.1146/annurev.micro.56.012302.160925
    • V. Rhodius, T.K. Van Dyk, C. Gross, and R.A. LaRossa Impact of genomic technologies on studies of bacterial gene expression Annu. Rev. Microbiol. 56 2002 599 624 (Pubitemid 35217468)
    • (2002) Annual Review of Microbiology , vol.56 , pp. 599-624
    • Rhodius, V.1    Van Dyk, T.K.2    Gross, C.3    LaRossa, R.A.4
  • 49
    • 31144454629 scopus 로고    scopus 로고
    • Conserved and variable functions of the sigma(E) stress response in related genomes
    • V.A. Rhodius, W.C. Suh, G. Nonaka, J. West, and C.A. Gross Conserved and variable functions of the sigma(E) stress response in related genomes PLoS Biol. 4 2006 43 59
    • (2006) PLoS Biol. , vol.4 , pp. 43-59
    • Rhodius, V.A.1    Suh, W.C.2    Nonaka, G.3    West, J.4    Gross, C.A.5
  • 53
    • 33748491517 scopus 로고    scopus 로고
    • The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements
    • DOI 10.1038/nbt1239, PII NBT1239
    • L. Shi, L.H. Reid, W.D. Jones, R. Shippy, J.A. Warrington, S.C. Baker, P.J. Collins, F. de Longueville, E.S. Kawasaki, K.Y. Lee, Y. Luo, and Y.A. Sun The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements Nat. Biotechnol. 24 2006 1151 1161 (Pubitemid 44359727)
    • (2006) Nature Biotechnology , vol.24 , Issue.9 , pp. 1151-1161
    • Shi, L.1
  • 54
    • 39149111585 scopus 로고    scopus 로고
    • Reproducible and reliable microarray results through quality control: Good laboratory proficiency and appropriate data analysis practices are essential
    • L. Shi, R.G. Perkins, H. Fang, and W. Tong Reproducible and reliable microarray results through quality control: Good laboratory proficiency and appropriate data analysis practices are essential Curr. Opin. Biotechnol. 19 2008 10 18
    • (2008) Curr. Opin. Biotechnol. , vol.19 , pp. 10-18
    • Shi, L.1    Perkins, R.G.2    Fang, H.3    Tong, W.4
  • 55
    • 4544341015 scopus 로고    scopus 로고
    • Linear models and empirical bayes methods for assessing differential expression in microarray experiments
    • ARTICLE3
    • G.K. Smyth Linear models and empirical bayes methods for assessing differential expression in microarray experiments Stat. Appl. Genet. Mol. Biol. 3 Article3 2004
    • (2004) Stat. Appl. Genet. Mol. Biol. , vol.3
    • Smyth, G.K.1
  • 56
    • 72849114230 scopus 로고    scopus 로고
    • Prokaryotic transcriptomics: A new view on regulation, physiology and pathogenicity
    • R. Sorek, and P. Cossart Prokaryotic transcriptomics: A new view on regulation, physiology and pathogenicity Nat. Rev. Genet. 11 2010 9 16
    • (2010) Nat. Rev. Genet. , vol.11 , pp. 9-16
    • Sorek, R.1    Cossart, P.2
  • 58
    • 0036020892 scopus 로고    scopus 로고
    • A direct approach to false discovery rates
    • J.D. Storey A direct approach to false discovery rates J. R. Stat. Soc. B Stat. Methodol. 64 2002 479 498
    • (2002) J. R. Stat. Soc. B Stat. Methodol. , vol.64 , pp. 479-498
    • Storey, J.D.1
  • 62
    • 0033028596 scopus 로고    scopus 로고
    • Systematic determination of genetic network architecture
    • DOI 10.1038/10343
    • S. Tavazoie, J.D. Hughes, M.J. Campbell, R.J. Cho, and G.M. Church Systematic determination of genetic network architecture Nat. Genet. 22 1999 281 285 (Pubitemid 29297256)
    • (1999) Nature Genetics , vol.22 , Issue.3 , pp. 281-285
    • Tavazoie, S.1    Hughes, J.D.2    Campbell, M.J.3    Cho, R.J.4    Church, G.M.5
  • 63
    • 21444446380 scopus 로고    scopus 로고
    • The 'miss rate' for the analysis of gene expression data
    • DOI 10.1093/biostatistics/kxh021
    • J. Taylor, R. Tibshirani, and B. Efron The "miss rate" for the analysis of gene expression data Biostatistics 6 2005 111 117 (Pubitemid 41240373)
    • (2005) Biostatistics , vol.6 , Issue.1 , pp. 111-117
    • Taylor, J.1    Tibshirani, R.2    Efron, B.3
  • 64
    • 78149421813 scopus 로고    scopus 로고
    • Bacterial antisense RNAs: How many are there, and what are they doing?
    • M.K. Thomason, and G. Storz Bacterial antisense RNAs: How many are there, and what are they doing? Annu. Rev. Genet. 44 2010 167 188
    • (2010) Annu. Rev. Genet. , vol.44 , pp. 167-188
    • Thomason, M.K.1    Storz, G.2
  • 65
    • 67650388609 scopus 로고    scopus 로고
    • Advancing high-throughput gene synthesis technology
    • J. Tian, K. Ma, and I. Saaem Advancing high-throughput gene synthesis technology Mol. Biosyst. 5 2009 714 722
    • (2009) Mol. Biosyst. , vol.5 , pp. 714-722
    • Tian, J.1    Ma, K.2    Saaem, I.3
  • 66
    • 33646234749 scopus 로고    scopus 로고
    • A simple method for assessing sample sizes in microarray experiments
    • R. Tibshirani A simple method for assessing sample sizes in microarray experiments BMC Bioinform. 7 2006 106
    • (2006) BMC Bioinform. , vol.7 , pp. 106
    • Tibshirani, R.1
  • 68
    • 33748953866 scopus 로고    scopus 로고
    • Genetic parts to program bacteria
    • DOI 10.1016/j.copbio.2006.09.001, PII S0958166906001273, Systems Biology / Tissue and Cell Engineering
    • C.A. Voigt Genetic parts to program bacteria Curr. Opin. Biotechnol. 17 2006 548 557 (Pubitemid 44442933)
    • (2006) Current Opinion in Biotechnology , vol.17 , Issue.5 , pp. 548-557
    • Voigt, C.A.1
  • 69
    • 57749195712 scopus 로고    scopus 로고
    • RNA-Seq: A revolutionary tool for transcriptomics
    • Z. Wang, M. Gerstein, and M. Snyder RNA-Seq: A revolutionary tool for transcriptomics Nat. Rev. Genet. 10 2009 57 63
    • (2009) Nat. Rev. Genet. , vol.10 , pp. 57-63
    • Wang, Z.1    Gerstein, M.2    Snyder, M.3
  • 71
    • 12344330424 scopus 로고    scopus 로고
    • LimmaGUI: A graphical user interface for linear modeling of microarray data
    • DOI 10.1093/bioinformatics/bth449
    • J.M. Wettenhall, and G.K. Smyth limmaGUI: A graphical user interface for linear modeling of microarray data Bioinformatics 20 2004 3705 3706 (Pubitemid 40136823)
    • (2004) Bioinformatics , vol.20 , Issue.18 , pp. 3705-3706
    • Wettenhall, J.M.1    Smyth, G.K.2
  • 72
    • 1342294092 scopus 로고    scopus 로고
    • Normalization for cDNA microarray data: A robust composite method addressing single and multiple slide systematic variation
    • Y.H. Yang, S. Dudoit, P. Luu, D.M. Lin, V. Peng, J. Ngai, and T.P. Speed Normalization for cDNA microarray data: A robust composite method addressing single and multiple slide systematic variation Nucleic Acids Res. 30 2002 e15
    • (2002) Nucleic Acids Res. , vol.30 , pp. 15
    • Yang, Y.H.1    Dudoit, S.2    Luu, P.3    Lin, D.M.4    Peng, V.5    Ngai, J.6    Speed, T.P.7
  • 73
    • 0035024021 scopus 로고    scopus 로고
    • Validating clustering for gene expression data
    • K.Y. Yeung, D.R. Haynor, and W.L. Ruzzo Validating clustering for gene expression data Bioinformatics 17 2001 309 318 (Pubitemid 32421924)
    • (2001) Bioinformatics , vol.17 , Issue.4 , pp. 309-318
    • Yeung, K.Y.1    Haynor, D.R.2    Ruzzo, W.L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.