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Nicholas Schaum, Jim Karkanias, Norma F Neff, Andrew P. May, Stephen R. Quake, Tony Wyss-Coray, Spyros Darmanis, Joshua Batson, Olga Botvinnik, Michelle B. Chen, Steven Chen, Foad Green, Robert Jones, Ashley Maynard, Lolita Penland, Rene V. Sit, Geoffrey M. Stanley, James T. Webber, Fabio Zanini, Ankit S. Baghel, Isaac Bakerman, Ishita Bansal, Daniela Berdnik, Biter Bilen, Douglas Brownfield, Corey Cain, Min Cho, Giana Cirolia, Stephanie D. Conley, Aaron Demers, Kubilay Demir, Antoine de Morree, Tessa Divita, Haley du Bois, Laughing Bear Torrez Dulgeroff, Hamid Ebadi, F. Hernan Espinoza, Matt Fish, Qiang Gan, Benson M. George, Astrid Gillich, Geraldine Genetiano, Xueying Gu, Gunsagar S. Gulati, Yan Hang, Shayan Hosseinzadeh, Albin Huang, Tal Iram, Taichi Isobe, Feather Ives, Kevin S. Kao, Guruswamy Karnam, Aaron M. Kershner, Bernhard Kiss, William Kong, Maya E. Kumar, Jonathan Lam, Davis P. Lee, Song E. Lee, Guang Li, Qingyun Li, Ling Liu, Annie Lo, Wan-Jin Lu, Anoop Manjunath, Kaia L. May, Oliver L. May, Marina McKay, Ross J. Metzger, Marco Mignardi, Dullei Min, Ahmad N. Nabhan, Katharine M. Ng, Joseph Noh, Rasika Patkar, Weng Chuan Peng, Robert Puccinelli, Eric J. Rulifson, Shaheen S. Sikandar, Rahul Sinha, Rene V Sit, Krzysztof Szade, Weilun Tan, Cristina Tato, Krissie Tellez, Kyle J. Travaglini, Carolina Tropini, Lucas Waldburger, Linda J. van Weele, Michael N. Wosczyna, Jinyi Xiang, Soso Xue, Justin Youngyunpipatkul, Macy E. Zardeneta, Fan Zhang, Lu Zhou, Norma F. Neff, Paola Castro, Derek Croote, Joseph L. DeRisi, Angela Pisco, Bernhard M. Kiss, Christin S. Kuo, Benoit Lehallier, Patricia K. Nguyen, Serena Y. Tan, Bruce M. Wang, Hanadie Yousef, Philip A. Beachy, Charles K. F. Chan, Kerwyn Casey Huang, Kenneth Weinberg, Sean Wu, Ben A. Barres, Michael F. Clarke, Seung K. Kim, Mark A. Krasnow, Norma Neff, Roel Nusse, Thomas A. Rando, Justin Sonnenburg, Irving L. Weissman, Sean M. Wu
The Tabula Muris ConsortiumWe have created a compendium of single cell transcriptome data from the model organism Mus musculus comprising more than 100,000 cells from 20 organs and tissues. These data represent a new resource for cell biology, reveal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f894c3c83b247f80997e39cc3e0f8383