RNA-Seq at ABRF

The ABRF Meeting begins tomorrow in Albuquerque, NM.  Check out these posters covering RNA-Seq topics.

3 – The ABRF Next Generation Sequencing Study: Multi-platform and Cross-methodological Reproducibility of Transcriptome Profiling by RNA-seq

Christopher E. Mason1,2, Sheng Li1,2, Scott Tighe3, Charles Nicolet4, Don Baldwin5, George Grills6, and the ABRF-NGS Consortium

9 – Longer Reads Do Not Significantly Improve RNA-seq Results

Jeffrey Rosenfeld1,2, Sagar Chhangawala3,4, Gabe Rudy5, Po-Yen Wu6, Scott Tighe7, May D. Wang6, Don A. Baldwin8, George Grills9, Christopher E. Mason4,5 and the ABRF-NGS Consortium
1Rutgers-New Jersey Medical School, Newark, NJ 07101; 2American Museum of Natural History, New York, NY; 3The Institute for Computational Biomedicine, Weill Cornell Medical College, New York, NY 10021; 4Department of Physiology and Biophysics, Weill Cornell Medical College, New York, NY 10021; 5Golden Helix, 203 Enterprise Blvd, Suite 1, Bozeman, MT 59718; 6The Wallace H. Coulter Dept. of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA 30332, USA; 7Vermont Cancer Center,

27 – Next Generation Sequencing Analysis of Circulating RNAs in Human Plasma

Kanhav Khanna1, Xiaoping Su2, Hongli Tang1, Louis Ramagli1, Siping Sun1, and Erika Thompson1
1Sequencing and Microarray Facility, The University of Texas MD Anderson Cancer Center, 2Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center

41 – Comparison of Illumina and Ion Torrent RNA-Sequencing and Microarray-based approaches for Profiling the Transcriptome

Yuriy Alekseyev1, Rebecca Kusko2, Ashley LeClerc1, Samantha Swahn1, Marc Lenburg2, Avrum Spira2
1Boston University School of Medicine, Microarray Resource, 72 E. Concord E605, Boston, MA, 02118, USA 2 Boston University School of Medicine, Computational Biomedicine, 72 E. Concord, Boston, MA, 02118, United States

45 – Strand-Specific Transcriptome Sequencing for Challenging Samples

Craig Betts, Rachel Fish, Suvarna Gandlur, Andrew Farmer
Clontech Laboratories

46 – An Improved cDNA Library Generation Protocol for Transcriptome Analysis from a Single Cell

Andrew Farmer, Rachel Fish, Sally Zhang, Magnolia Bostick, Cynthia Chang, Suvarna Gandlur
Clontech Laboratories, Inc.

48 – Enabling High-Throughput Discovery of the RNA Transcription Landscape Using a Directional RNA Workflow and a Combinatorial Multiplexing Approach

Fiona J. Stewart, Daniela B. Munafo, Pingfang Liu, Christine J. Sumner, Bradley W. Langhorst, Eileen T. Dimalanta, Theodore B. Davis
New England Biolabs, Inc.

60 – Expression Profiling Smackdown: Human Transcriptome Array HTA 2.0 vs. RNA-Seq

Tim Hunter1, Meghann Palermo1, Heather Driscoll2, Scott Tighe1, Julie Dragon1, Jeff Bond1, Arti Shukla1, Mahesh Vangala2, James Vincent1
1University of Vermont, Burlington, Vermont, 2Norwich University, Northfield, Vermont

73 – Transcriptome Analysis from Low Cell Numbers: Two RNA Amplification Approaches

B. Fleharty, J. Vallandingham, A. Peak, J. Morrison, C. Bailey, K. Staehling, A. Perera, K. Zueckert-Gaudenz, P. Kulesa, H. Li
Stowers Institute for Medical Research

92 – The erccdashboard: an R Package for Analysis of External Spike-in RNA Controls in Gene Expression Experiments

S.A. Munro1,2, S. Lund1,3, P.S. Pine1,2, M. Salit1,2
1Material Measurement Laboratory, National Institute of Standards and Technology 100 Bureau Drive Gaithersburg, MD 20899, 2National Institute of Standards and Technology Advances in Biological and Medical Measurement Science Program at Stanford University, 348 Via Pueblo Mall, Stanford, CA 94305, 3Information Technology Laboratory, National Institute of Standards and Technology, 100 Bureau Drive Gaithersburg ,MD 20899

Download all the poster abstracts from ABRF 2014

(find out more at https://conf.abrf.org/)