Discovery of tissue-specific exons using comprehensive human exon microarrays
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* Corresponding author: Tyson A Clark tyson_clark@affymetrix.com
Genome Biology 2007, 8:R64 doi:10.1186/gb-2007-8-4-r64
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Measuring and analyzing tissue specificity of human genes and protein complexes Dorothea Emig, Tim Kacprowski, Mario Albrecht EURASIP Journal on Bioinformatics and Systems Biology 2011, 2011:5 (4 August 2011) This article is part of a collection on Computational Systems... |
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Screening the human exome: a comparison of whole genome and whole transcriptome sequencing Elizabeth T Cirulli, Abanish Singh, Kevin V Shianna, Dongliang Ge, Jason P Smith, Jessica M Maia, Erin L Heinzen, James J Goedert, David B Goldstein, Genome Biology 2010, 11:R57 (28 May 2010) RNA-seq is an efficient and cheaper alternative, compared with whole genome sequencing, for identifying coding variants in humans.
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Peter Lorenz, Sabine Dietmann, Thomas Wilhelm, Dirk Koczan, Sandra Autran, Sophie Gad, Gaiping Wen, Guohui Ding, Yixue Li, Marie-Françoise Rousseau-Merck, Hans-Juergen Thiesen BMC Genomics 2010, 11:206 (26 March 2010) |
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Kevin CH Ha, Jasmin Coulombe-Huntington, Jacek Majewski BMC Genomics 2009, 10:519 (12 November 2009) |
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Facilitating functional annotation of chicken microarray data Teresia J Buza, Ranjit Kumar, Cathy R Gresham, Shane C Burgess, Fiona M McCarthy BMC Bioinformatics 2009, 10(Suppl 11):S2 (8 October 2009) |
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Essi Laajala, Tero Aittokallio, Riitta Lahesmaa, Laura L Elo Genome Biology 2009, 10:R77 (16 July 2009) A novel statistical procedure is presented that uses probe-level information on Affymetrix exon arrays to detect differential splicing. |
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Xin Wang, Kejun Wang, Milan Radovich, Yue Wang, Guohua Wang, Weixing Feng, Jeremy R Sanford, Yunlong Liu BMC Genomics 2009, 10(Suppl 1):S4 (7 July 2009) |
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Differential splicing using whole-transcript microarrays Mark D Robinson, Terence P Speed BMC Bioinformatics 2009, 10:156 (22 May 2009) The Affymetrix GeneChip microarray platform, widely used to assay gene expression, can also detect differential splicing events with the help of a new statistical method called FIRMAGene that analyses information from poorly fitting adjacent probes.
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Estimating accuracy of RNA-Seq and microarrays with proteomics Xing Fu, Ning Fu, Song Guo, Zheng Yan, Ying Xu, Hao Hu, Corinna Menzel, Wei Chen, Yixue Li, Rong Zeng, Philipp Khaitovich BMC Genomics 2009, 10:161 (16 April 2009) |
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REMAS: a new regression model to identify alternative splicing events from exon array data Hao Zheng, Xingyi Hang, Ji Zhu, Minping Qian, Wubin Qu, Chenggang Zhang, Minghua Deng BMC Bioinformatics 2009, 10(Suppl 1):S18 (30 January 2009) |
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Identifying differential exon splicing using linear models and correlation coefficients Sonia H Shah, Jacqueline A Pallas BMC Bioinformatics 2009, 10:26 (20 January 2009) |
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Studying alternative splicing regulatory networks through partial correlation analysis Liang Chen, Sika Zheng Genome Biology 2009, 10:R3 (9 January 2009) The identification of links between exons and their regulators or targets and between co-spliced exons in human, mouse and rat provides novel insights into the alternative splicing regulatory network. |
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Prediction of alternatively skipped exons and splicing enhancers from exon junction arrays Katerina Kechris, Yee Yang, Ru-Fang Yeh BMC Genomics 2008, 9:551 (20 November 2008) |
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Gene Expression and Isoform Variation Analysis using Affymetrix Exon Arrays Amandine Bemmo, David Benovoy, Tony Kwan, Daniel J Gaffney, Roderick V Jensen, Jacek Majewski BMC Genomics 2008, 9:529 (7 November 2008) |
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Exon and junction microarrays detect widespread mouse strain- and sex-bias expression differences Wan-Lin Su, Barmak Modrek, Debraj GuhaThakurta, Stephen Edwards, Jyoti K Shah, Amit V Kulkarni, Archie Russell, Eric E Schadt, Jason M Johnson, John C Castle BMC Genomics 2008, 9:273 (4 June 2008) |
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Exon expression profiling reveals stimulus-mediated exon use in neural cells Adrienne E McKee, Nicola Neretti, Luis E Carvalho, Clifford A Meyer, Edward A Fox, Alexander S Brodsky, Pamela A Silver Genome Biology 2007, 8:R159 (2 August 2007) Exon centric microarrays were used to resolve the calcium-modulated gene expression response into transcript-level an exon-level regulation. |