Seq-Well: A Sample-Efficient, Portable Picowell Platform for Massively Parallel Single-Cell RNA Sequencing
Year: 2019
Type: book-chapter
Source: Methods in molecular biology
Authors: Toby P. Aicher, Shaina Carroll, Gianmarco Raddi, Todd Gierahn, Marc H. Wadsworth, Travis K. Hughes, Chris Love, Alex K. Shalek
Institutions: Broad Institute, Ragon Institute of MGH, MIT and Harvard, Massachusetts Institute of Technology, National Institutes of Health, University of California, Los Angeles, University of Cambridge, Wellcome Sanger Institute, National Institute of Allergy and Infectious Diseases, Koch Institute for Integrative Cancer Research At MIT
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
Funders: National Institutes of Health, National Heart, Lung, and Blood Institute, National Institute on Drug Abuse, National Human Genome Research Institute, National Cancer Institute, National Institute of General Medical Sciences, National Institute of Allergy and Infectious Diseases, National Institute of Diabetes and Digestive and Kidney Diseases
Awards: G1083602967, G1095256556, G1129124601, G1621751088, Center for Cell Circuits, G3073373828, G3135198137, G4186406324, G494285540, G5233981241, UCLA-Caltech Medical Scientist Training Program, G582655688, G7640925840, G7981823491, G8248692706, G8382698681, G8435249515, G9000004310, Costimulatory Mechanisms of Autoimmunity, Cancer Center Support (Core) Grant, Immune signatures of vaccine responses in vulnerable populations
OpenAlex ID: W2941372435