Abstract 5406: Low-input transcript profiling with enhanced sensitivity using a highly efficient, low-bias and strand-specific RNA-Seq library preparation method
Keerthana Krishnan, Theodore B. Davis(New England Biolabs (United States)), Lynne Apone(New England Biolabs (United States)), Laurie Mazzola(New England Biolabs (United States)), Christine Sumner(New England Biolabs (United States)), Danielle Rivizzigno(New England Biolabs (United States)), Mehmet Karaca(University of North Carolina at Chapel Hill), Pingfang Liu(New England Biolabs (United States)), Joanna Bybee(New England Biolabs (United States)), Daniela B. Munafó(Scripps Research Institute), Vaishnavi Panchapakesa(New England Biolabs (United States)), Christine Rozzi(New England Biolabs (United States)), Erbay Yigit(New England Biolabs (United States)), Timur Shtatland(Harvard University), Fiona Stewart(University of Ulster), Deyra N. Rodríguez(New England Biolabs (United States)), Eileen T. Dimalanta, Karen Duggan(New England Biolabs (United States)), Bradley W. Langhorst(New England Biolabs (United States))
Cited by 1
Related Papers
Cell-specific targeting of nanoparticles by multivalent attachment of small molecules
|Nature Biotechnology|2005|902
Osteogenesis Associates With Inflammation in Early-Stage Atherosclerosis Evaluated by Molecular Imaging In Vivo
|Circulation|2007|689
Analysis of the C. elegans Argonaute Family Reveals that Distinct Argonautes Act Sequentially during RNAi
|Cell|2006|687
Evidence for 28 genetic disorders discovered by combining healthcare and research data
|Nature|2020|672
Identification of novel NRF2-regulated genes by ChIP-Seq: influence on retinoid X receptor alpha
|Nucleic Acids Research|2012|571