Eleven grand challenges in single-cell data science

The recent boom in microfluidics and combinatorial indexing strategies, combined with low sequencing costs, has empowered single-cell sequencing technology. Thousands—or even millions—of cells analyzed in a single experiment amount to a data revolution in single-cell biology and pose unique data sci...

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Published in:Genome Biology 2020-02, Vol.21 (1), p.31-31, Article 31
Main Authors: Lähnemann, David, Köster, Johannes, Szczurek, Ewa, McCarthy, Davis J., Hicks, Stephanie C., Robinson, Mark D., Vallejos, Catalina A., Campbell, Kieran R., Beerenwinkel, Niko, Mahfouz, Ahmed, Pinello, Luca, Skums, Pavel, Stamatakis, Alexandros, Attolini, Camille Stephan-Otto, Aparicio, Samuel, Baaijens, Jasmijn, Balvert, Marleen, Barbanson, Buys de, Cappuccio, Antonio, Corleone, Giacomo, Dutilh, Bas E., Florescu, Maria, Guryev, Victor, Holmer, Rens, Jahn, Katharina, Lobo, Thamar Jessurun, Keizer, Emma M., Khatri, Indu, Kielbasa, Szymon M., Korbel, Jan O., Kozlov, Alexey M., Kuo, Tzu-Hao, Lelieveldt, Boudewijn P.F., Mandoiu, Ion I., Marioni, John C., Marschall, Tobias, Mölder, Felix, Niknejad, Amir, Rączkowska, Alicja, Reinders, Marcel, Ridder, Jeroen de, Saliba, Antoine-Emmanuel, Somarakis, Antonios, Stegle, Oliver, Theis, Fabian J., Yang, Huan, Zelikovsky, Alex, McHardy, Alice C., Raphael, Benjamin J., Shah, Sohrab P., Schönhuth, Alexander
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Language:English
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