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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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7007675/
https://www.ncbi.nlm.nih.gov/pubmed/32033589
http://dx.doi.org/10.1186/s13059-020-1926-6

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