Plate IV.329 · Publications

Eleven grand challenges in single-cell data science

Review in Genome Biology, 7 February 2020.

ReviewOpen accessResearch area: Representations, Single Cell

Authors

  1. David Lähnemann
  2. Johannes Köster
  3. Ewa Szczurek
  4. Davis J. McCarthy
  5. Stephanie C. Hicks
  6. Mark D. Robinson
  7. Catalina A. Vallejos
  8. Kieran R. Campbell
  9. Niko Beerenwinkel
  10. Ahmed Mahfouz
  11. Luca Pinello
  12. Pavel Skums
  13. Alexandros Stamatakis
  14. Camille Stephan-Otto Attolini
  15. Samuel Aparicio
  16. Jasmijn Baaijens
  17. Marleen Balvert
  18. Buys de Barbanson
  19. Antonio Cappuccio
  20. Giacomo Corleone
  21. Bas E. Dutilh
  22. Maria Florescu
  23. Victor Guryev
  24. Rens Holmer
  25. Katharina Jahn
  26. Thamar Jessurun Lobo
  27. Emma M. Keizer
  28. Indu Khatri
  29. Szymon M. Kielbasa
  30. Jan O. Korbel
  31. Alexey M. Kozlov
  32. Tzu-Hao Kuo
  33. Boudewijn P.F. Lelieveldt
  34. Ion I. Mandoiu
  35. John C. Marioni
  36. Tobias Marschall
  37. Felix Mölder
  38. Amir Niknejad
  39. Alicja Rączkowska
  40. Marcel Reinders
  41. Jeroen de Ridder
  42. Antoine-Emmanuel Saliba
  43. Antonios Somarakis
  44. Oliver Stegle
  45. Fabian J. Theis
  46. Huan Yang
  47. Alex Zelikovsky
  48. Alice C. McHardy
  49. Benjamin J. Raphael
  50. Sohrab P. Shah
  51. Alexander Schönhuth

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.

Cite

@article{lahnemann2020eleven,
  title = {{Eleven grand challenges in single-cell data science}},
  author = {Lähnemann, David and Köster, Johannes and Szczurek, Ewa and McCarthy, Davis J. and Hicks, Stephanie C. and Robinson, Mark D. and Vallejos, Catalina A. and Campbell, Kieran R. and Beerenwinkel, Niko and Mahfouz, Ahmed and Pinello, Luca and Skums, Pavel and Stamatakis, Alexandros and Attolini, Camille Stephan-Otto and Aparicio, Samuel and Baaijens, Jasmijn and Balvert, Marleen and Barbanson, Buys de and Cappuccio, Antonio and Corleone, Giacomo and Dutilh, Bas E. and Florescu, Maria and Guryev, Victor and Holmer, Rens and Jahn, Katharina and Lobo, Thamar Jessurun and Keizer, Emma M. and Khatri, Indu and Kielbasa, Szymon M. and Korbel, Jan O. and Kozlov, Alexey M. and Kuo, Tzu-Hao and Lelieveldt, Boudewijn P.F. and Mandoiu, Ion I. and Marioni, John C. and Marschall, Tobias and Mölder, Felix and Niknejad, Amir and Rączkowska, Alicja and Reinders, Marcel and Ridder, Jeroen de and Saliba, Antoine-Emmanuel and Somarakis, Antonios and Stegle, Oliver and Theis, Fabian J. and Yang, Huan and Zelikovsky, Alex and McHardy, Alice C. and Raphael, Benjamin J. and Shah, Sohrab P. and Schönhuth, Alexander},
  journal = {Genome Biology},
  publisher = {Springer Science and Business Media LLC},
  year = {2020},
  month = feb,
  doi = {10.1186/s13059-020-1926-6},
  url = {https://doi.org/10.1186/s13059-020-1926-6},
  pmid = {32033589},
  pmcid = {PMC7007675}
}
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