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Eleven grand challenges in single-cell data science.

Author(s): Lähnemann, David; Köster, Johannes; Szczurek, Ewa; McCarthy, Davis J; Hicks, Stephanie C; et al

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Abstract: 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 science problems. Here, we outline eleven challenges that will be central to bringing this emerging field of single-cell data science forward. For each challenge, we highlight motivating research questions, review prior work, and formulate open problems. This compendium is for established researchers, newcomers, and students alike, highlighting interesting and rewarding problems for the coming years.
Publication Date: 7-Feb-2020
Citation: 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 PF, Mandoiu, Ion I, Marioni, John C, Marschall, Tobias, Mölder, Felix, Niknejad, Amir, Raczkowski, Lukasz, 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. (2020). Eleven grand challenges in single-cell data science.. Genome biology, 21 (1), 31 - ?. doi:10.1186/s13059-020-1926-6
DOI: doi:10.1186/s13059-020-1926-6
ISSN: 1474-7596
EISSN: 1474-760X
Pages: 31 - ?
Language: eng
Type of Material: Journal Article
Journal/Proceeding Title: Genome biology
Version: Final published version. This is an open access article.

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