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Ключевое слово transcriptome [177 articles]

Recent papers classified by the tag transcriptome.
  • Consensus by democracy. Using meta-analyses of microarray and genomic data to model the cold acclimation signaling pathway in Arabidopsis.
    Plant Physiol, Vol. 141, No. 4. (August 2006), pp. 1219-1232.
    by C Benedict, M Geisler, J Trygg, N Huner, V Hurry
  • Evidence for variation in abundance of antisense transcripts between multicellular animals but no relationship between antisense transcription and organismic complexity.
    Genome Res (12 June 2006)
    by Miao Sun, Laurence D D Hurst, Gordon G G Carmichael, Jianjun Chen
  • Gene expression analyses in maize inbreds and hybrids with varying levels of heterosis
    BMC Plant Biology, Vol. 8 (10 April 2008), 33.
    by Robert M Stupar, Jack M Gardiner, Aaron G Oldre, William J Haun, Vicki L Chandler, Nathan M Springer
  • Natural Variation among Arabidopsis thaliana Accessions for Transcriptome Response to Exogenous Salicylic Acid.
    Plant Cell (13 July 2007)
    by Hans van Leeuwen, Daniel J J Kliebenstein, Marilyn A L A West, Kyunga Kim, Remco van Poecke, Fumiaki Katagiri, Richard W W Michelmore, Rebecca W W Doerge, Dina A A St Clair
  • Hotspots of transcription factor colocalization in the genome of Drosophila melanogaster.
    Proc Natl Acad Sci U S A (31 July 2006)
    by Celine Moorman, Ling V V Sun, Junbai Wang, Elzo de Wit, Wendy Talhout, Lucas D D Ward, Frauke Greil, Xiang-Jun J Lu, Kevin P P White, Harmen J J Bussemaker, Bas van Steensel
  • Qualitative network models and genome-wide expression data define carbon/nitrogen-responsive molecular machines in Arabidopsis
    Genome Biology, Vol. 8 (11 January 2007), R7.
    by Rodrigo A Gutierrez, Laurence Lejay, Alexis Dean, Francesca Chiaromonte, Dennis E Shasha, Gloria M Coruzzi
  • RNA Maps Reveal New RNA Classes and a Possible Function for Pervasive Transcription
    Science (17 May 2007), 1138341.
    by Philipp Kapranov, Jill Cheng, Sujit Dike, David A Nix, Radharani Duttagupta, Aarron T Willingham, Peter F Stadler, Jana Hertel, Joerg Hackermueller, Ivo L Hofacker, Ian Bell, Evelyn Cheung, Jorg Drenkow, Erica Dumais, Sandeep Patel, Gregg Helt, Madhavan Ganesh, Srinka Ghosh, Antonio Piccolboni, Victor Sementchenko, Hari Tammana, Thomas R Gingeras
  • REPLICATION AND TRANSCRIPTION: SHAPING THE LANDSCAPE OF THE GENOME
    Nat Rev Genet, Vol. 6, No. 9. (2005), pp. 669-677.
    by Lyubomira Chakalova, Emmanuel Debrand, Jennifer A Mitchell, Cameron S Osborne, Peter Fraser
  • Mapping the C. elegans noncoding transcriptome with a whole-genome tiling microarray
    Genome Res. (4 September 2007), gr.6611807.
    by Housheng He, Jie Wang, Tao Liu, Shirley X Liu, Tiantian Li, Yunfei Wang, Zuwei Qian, Haixia Zheng, Xiaopeng Zhu, Tao Wu, Baochen Shi, Wei Deng, Wei Zhou, Geir Skogerbo, Runsheng Chen
  • Constructing the landscape of the mammalian transcriptome.
    J Exp Biol, Vol. 210, No. Pt 9. (May 2007), pp. 1497-1506.
    posted to transcriptome review by xingxu on 2008-05-06 20:13:19 as ** along with 1 person jyuh
  • A supervised hidden Markov model framework for efficiently segmenting tiling array data in transcriptional and ChIP-chip experiments: systematically incorporating validated biological knowledge.
    Bioinformatics (12 October 2006)
    by Jiang Du, Joel S S Rozowsky, Jan O O Korbel, Zhengdong D D Zhang, Thomas E E Royce, Martin H H Schultz, Michael Snyder, Mark Gerstein
  • A practical guide to the art of RNA gene prediction
    Brief Bioinform (4 May 2007), bbm011.
    by Irmtraud M Meyer
  • Dark matter in the genome: evidence of widespread transcription detected by microarray tiling experiments.
    Trends Genet, Vol. 21, No. 2. (February 2005), pp. 93-102.
  • Genome-wide transcription and the implications for genomic organization.
    Nat Rev Genet (8 May 2007)
    by Philipp Kapranov, Aarron T T Willingham, Thomas R R Gingeras
  • Correlation between transcriptome and interactome mapping data from Saccharomyces cerevisiae.
    Nat Genet, Vol. 29, No. 4. (December 2001), pp. 482-486.
    by H Ge, Z Liu, GM Church, M Vidal
  • RNA-seq: An assessment of technical reproducibility and comparison with gene expression arrays
    Genome Res. (11 June 2008), gr.079558.108.
    by John Marioni, Cristopher Mason, Shrikant Mane, Matthew Stephens, Yoav Gilad
  • Analysis of the Macaca mulatta transcriptome and the sequence divergence between Macaca and human.
    Genome Biol, Vol. 6, No. 7. (2005)
    by CL Magness, PC Fellin, MJ Thomas, MJ Korth, MB Agy, SC Proll, M Fitzgibbon, CA Scherer, DG Miner, MG Katze, SP Iadonato
    posted to human macaque testis transcriptome by usagi-kirin on 2007-08-29 14:34:11 as **
  • Perceiving molecular evolution processes in Escherichia coli by comprehensive metabolite and gene expression profiling
    Genome Biology, Vol. 9, No. 4. (2008)
    by Chandran Vijayendran, Aiko Barsch, Karl Friehs, Karsten Niehaus, Anke Becker, Erwin Flaschel
  • From signatures to models: understanding cancer using microarrays.
    Nat Genet, Vol. 37 Suppl (June 2005)
  • Integrative analysis of the cancer transcriptome.
    Nat Genet, Vol. 37 Suppl (June 2005)
    by DR Rhodes, AM Chinnaiyan
  • Injury research in the genomic era.
    Lancet, Vol. 363, No. 9426. (19 June 2004), pp. 2076-2083.
    by JP Cobb, GE O'Keefe
    posted to genomique polytrauma transcriptome by textoris on 2005-06-28 05:34:24 as **
  • Differential gene expression profiling in whole blood during acute systemic inflammation in lipopolysaccharide-treated rats.
    Physiol Genomics, Vol. 21, No. 1. (21 March 2005), pp. 92-104.
    by RD Fannin, JT Auman, ME Bruno, SO Sieber, SM Ward, CJ Tucker, BA Merrick, RS Paules
    posted to genomique lps sepsis transcriptome by textoris on 2005-06-28 05:33:15 as ** along with 1 person jtextori
  • Molecular signatures of sepsis: multiorgan gene expression profiles of systemic inflammation.
    Am J Pathol, Vol. 159, No. 4. (October 2001), pp. 1199-1209.
    posted to genomique puces_adn sepsis transcriptome by textoris on 2005-06-28 05:27:58 as read
  • Sepsis gene expression profiling: murine splenic compared with hepatic responses determined by using complementary DNA microarrays.
    Crit Care Med, Vol. 30, No. 12. (December 2002), pp. 2711-2721.
    by JP Cobb, JM Laramie, GD Stormo, JJ Morrissey, WD Shannon, Y Qiu, IE Karl, TG Buchman, RS Hotchkiss
    posted to genomique puces_adn sepsis transcriptome by textoris on 2005-06-28 05:26:18 as **
  • Expression profiling: toward an application in sepsis diagnostics.
    Shock, Vol. 22, No. 1. (July 2004), pp. 29-33.
    by M Prucha, A Ruryk, H Boriss, E Möller, R Zazula, I Herold, RA Claus, KA Reinhart, P Deigner, S Russwurm
    posted to genomique puces_adn sepsis transcriptome by textoris on 2005-06-28 05:24:52 as **
  • Application of genome-wide expression analysis to human health and disease.
    Proc Natl Acad Sci U S A (21 March 2005)
    by J Perren P Cobb, Michael N N Mindrinos, Carol Miller-Graziano, Steve E E Calvano, Henry V V Baker, Wenzhong Xiao, Krzysztof Laudanski, Bernard H H Brownstein, Constance M M Elson, Douglas L L Hayden, David N N Herndon, Stephen F F Lowry, Ronald V V Maier, David A A Schoenfeld, Lyle L L Moldawer, Ronald W W Davis, Ronald G G Tompkins, Henry V V Baker, Paul Bankey, Timothy Billiar, Bernard H H Brownstein, Steve E E Calvano, David Camp, Irshad Chaudry, J Perren P Cobb, Ronald W W Davis, Constance M M Elson, Bradley Freeman, Richard Gamelli, Nicole Gibran, Brian Harbrecht, Douglas L L Hayden, Wyrta Heagy, David Heimbach, David N N Herndon, Jureta Horton, John Hunt, Krzysztof Laudanski, James Lederer, Stephen F F Lowry, Ronald V V Maier, John Mannick, Bruce McKinley, Carol Miller-Graziano, Michael N N Mindrinos, Joseph Minei, Lyle L L Moldawer, Ernest Moore, Frederick Moore, Robert Munford, Avery Nathens, Grant O'keefe, Gary Purdue, Laurence Rahme, Daniel Remick, Matthew Sailors, David A A Schoenfeld, Michael Shapiro, Geoffrey Silver, Richard Smith, Gregory Stephanopoulos, Gary Stormo, Ronald G G Tompkins, Mehmet Toner, Shaw Warren, Michael West, Steven Wolfe, Wenzhong Xiao, Vernon Young
  • A simple method for statistical analysis of intensity differences in microarray-derived gene expression data.
    BMC Biotechnol, Vol. 1, No. 1. (2001)
    by A Kamb, M Ramaswami
    posted to genomique puces_adn stat transcriptome by textoris on 2005-06-28 18:32:58 as **
  • Statistical modeling of large microarray data sets to identify stimulus-response profiles.
    Proc Natl Acad Sci U S A, Vol. 98, No. 10. (8 May 2001), pp. 5631-5636.
    by LP Zhao, R Prentice, L Breeden
    posted to genomique puces_adn stat transcriptome by textoris on 2005-06-28 18:31:52 as **
  • Ratio statistics of gene expression levels and applications to microarray data analysis.
    Bioinformatics, Vol. 18, No. 9. (September 2002), pp. 1207-1215.
    by Y Chen, V Kamat, ER Dougherty, ML Bittner, PS Meltzer, JM Trent
    posted to genomique puces_adn stat transcriptome by textoris on 2005-06-28 18:30:14 as **
  • Improving the statistical detection of regulated genes from microarray data using intensity-based variance estimation.
    BMC Genomics, Vol. 5, No. 1. (27 February 2004)
    posted to genomique puces_adn stat transcriptome by textoris on 2005-06-28 18:28:53 as **
  • Rank Difference Analysis of Microarrays (RDAM), a novel approach to statistical analysis of microarray expression profiling data.
    BMC Bioinformatics, Vol. 5, No. 1. (11 October 2004)
    by DE Martin, P Demougin, MN Hall, M Bellis
    posted to genomique puces_adn stat transcriptome by textoris on 2005-06-28 18:26:30 as ** along with 1 person RMGraze
  • Arabidopsis gene expression changes during cyst nematode parasitism revealed by statistical analyses of microarray expression profiles.
    Plant J, Vol. 33, No. 5. (March 2003), pp. 911-921.
    by DP Puthoff, D Nettleton, SR Rodermel, TJ Baum
    posted to genomique puces_adn transcriptome by textoris on 2005-06-28 18:25:36 as **
  • Statistical tests for identifying differentially expressed genes in time-course microarray experiments.
    Bioinformatics, Vol. 19, No. 6. (12 April 2003), pp. 694-703.
    by T Park, SG Yi, S Lee, SY Lee, DH Yoo, JI Ahn, YS Lee
    posted to genomique stat transcriptome by textoris on 2005-06-28 18:23:49 as ** along with 1 person ugengma
  • On the utility of pooling biological samples in microarray experiments.
    Proc Natl Acad Sci U S A (8 March 2005)
    by C Kendziorski, R A A Irizarry, K-S S Chen, J D D Haag, M N N Gould
  • Individuality and variation in gene expression patterns in human blood.
    Proc Natl Acad Sci U S A, Vol. 100, No. 4. (18 February 2003), pp. 1896-1901.
    by AR Whitney, M Diehn, SJ Popper, AA Alizadeh, JC Boldrick, DA Relman, PO Brown
  • Sample size for detecting differentially expressed genes in microarray experiments.
    BMC Genomics, Vol. 5, No. 1. (8 November 2004)
    by C Wei, J Li, RE Bumgarner
  • Gene expression profile of murine long-term reconstituting vs. short-term reconstituting hematopoietic stem cells.
    Proc Natl Acad Sci U S A, Vol. 102, No. 7. (15 February 2005), pp. 2448-2453.
    by JF Zhong, Y Zhao, S Sutton, A Su, Y Zhan, L Zhu, C Yan, T Gallaher, PB Johnston, WF Anderson, MP Cooke
    posted to genomique puces_adn transcriptome by textoris on 2005-06-28 17:24:05 as **
  • Expression scanning of an array of growth control genes in human tumor cell lines.
    Oncogene, Vol. 18, No. 26. (1 July 1999), pp. 3905-3912.
    posted to cancer genomique puces_adn transcriptome by textoris on 2005-06-28 17:23:02 as **
  • Gene expression profiles of poor-prognosis primary breast cancer correlate with survival.
    Hum Mol Genet, Vol. 11, No. 8. (15 April 2002), pp. 863-872.
    posted to cancer genomique puces_adn transcriptome by textoris on 2005-06-28 17:18:41 as **
  • Expression profiling using cDNA microarrays.
    Methods Mol Biol, Vol. 236 (2003), pp. 365-380.
    by S Zhao, WB Bruce
    posted to genomique puces_adn transcriptome by textoris on 2005-06-28 17:16:12 as **
  • Sensitivity issues in DNA array-based expression measurements and performance of nylon microarrays for small samples.
    Hum Mol Genet, Vol. 8, No. 9. (September 1999), pp. 1715-1722.
    posted to genomique puces_adn transcriptome by textoris on 2005-06-30 18:54:30 as read
  • Use of transcriptome data to unravel the fine structure of genes involved in sepsis.
    J Infect Dis, Vol. 187 Suppl 2 (15 June 2003)
    posted to genetique genomique puces_adn sepsis transcriptome by textoris on 2005-06-28 17:11:39 as **
  • Normalization strategies for cDNA microarrays.
    Nucleic Acids Res, Vol. 28, No. 10. (15 May 2000)
  • Microarrays and molecular research: noise discovery?
    Lancet, Vol. 365, No. 9458. (5 February 2005), pp. 454-455.
    by JP Ioannidis
    posted to genomique puces_adn transcriptome by textoris on 2005-06-28 17:05:46 as ** along with 1 person jfr
  • Cluster analysis and display of genome-wide expression patterns.
    Proc Natl Acad Sci U S A, Vol. 95, No. 25. (8 December 1998), pp. 14863-14868.
    by MB Eisen, PT Spellman, PO Brown, D Botstein
  • Exploration, normalization, and summaries of high density oligonucleotide array probe level data.
    Biostatistics, Vol. 4, No. 2. (April 2003), pp. 249-264.
  • Statistical significance for hierarchical clustering in genetic association and microarray expression studies.
    BMC Bioinformatics, Vol. 4, No. 1. (11 December 2003)
    by MA Levenstien, Y Yang, J Ott
    posted to cluster puces_adn stat transcriptome by textoris on 2005-06-30 18:19:39 as read along with 1 person jfr
  • Comparisons and validation of statistical clustering techniques for microarray gene expression data.
    Bioinformatics, Vol. 19, No. 4. (1 March 2003), pp. 459-466.
    by S Datta, S Datta
  • Statistical methods for microarray assays.
    J Appl Genet, Vol. 43, No. 3. (2002), pp. 269-278.
    posted to genomique puces_adn stat transcriptome by textoris on 2005-06-28 16:54:20 as **
  • A Bayesian framework for the analysis of microarray expression data: regularized t -test and statistical inferences of gene changes.
    Bioinformatics, Vol. 17, No. 6. (June 2001), pp. 509-519.
    by P Baldi, AD Long
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