Alternative transcription exceeds alternative splicing in generating the transcriptome diversity of cerebellar development Sharmistha Pal1,2,4, Ravi Gupta1,2,4, Hyunsoo Kim1, Priyankara Wickramasinghe1, Valérie Baubet2, Louise C. Showe1,2,3, Nadia Dahmane2 and Ramana V. Davuluri1,2,5 1Center for Systems and Computational Biology, The Wistar Institute, Philadelphia, Pennsylvania 19019, USA; 2Molecu
Review Open access Published: 31 May 2011 Microarrays, deep sequencing and the true measure of the transcriptome John H Malone1 & Brian Oliver1 BMC Biology volume 9, Article number: 34 (2011) Cite this article Microarrays first made the analysis of the transcriptome possible, and have produced much important information. Today, however, researchers are increasingly turning to direct high-throughpu
Research article Open access Published: 06 June 2011 RNA-seq: technical variability and sampling Lauren M McIntyre1, Kenneth K Lopiano2, Alison M Morse1, Victor Amin1, Ann L Oberg3, Linda J Young2 & …Sergey V Nuzhdin4 Show authors BMC Genomics volume 12, Article number: 293 (2011) Cite this article BackgroundRNA-seq is revolutionizing the way we study transcriptomes. mRNA can be surveyed without p
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Top 10 Asia Biopharma Clusters 2018 Chinese Economy, Overseas Investment Scrutiny Challenge the East’s Most Promising Regions Sequencing Builds Data Bridges to the Clinic Searching for Innovative, Cost-Effective Product Options New Tack for Neurodegenerative Disease Research Armed with New Tools and Lower Cost Sequencing, Researchers Take an Omics Approach to Neuro Diseases Improved Assays and Pre
Mathematical Modelling in Cell Biology From High-Throughput Data to Systems Analysis Dissertation zur Erlangung des Doktorgrades der Fakultät für Mathematik und Physik der Albert-Ludwigs-Universität Freiburg im Breisgau vorgelegt von Kilian Bartholomé 24. Januar 2008 Dekan: Prof. Dr. J. Flum Leiter der Arbeit: Prof. Dr. J. Timmer Referent: Prof. Dr. J. Timmer Koreferent: Prof. Dr. H. Römer Tag de
Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles Aravind Subramanian, Pablo Tamayo, Vamsi K. Mootha, Sayan Mukherjee, Benjamin L. Ebert, Michael A. Gillette, Amanda Paulovich, Scott L. Pomeroy, Todd R. Golub, Eric S. Lander, and Jill P. Mesirov aBroad Institute of Massachusetts Institute of Technology and Harvard, 320 Charles Street, Cambrid
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