Community-wide hackathons to identify central themes in single-cell multi-omics

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  • Lê Cao, Kim-Anh
    • Other Affiliation: Melbourne Integrative Genomics, School of Mathematics and Statistics, University of Melbourne, Melbourne, Australia
  • Abadi, Al J.
    • Other Affiliation: Melbourne Integrative Genomics, School of Mathematics and Statistics, University of Melbourne, Melbourne, Australia
  • Davis-Marcisak, Emily F.
  • Hsu, Lauren
  • Arora, Arshi
    • Other Affiliation: Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
  • Coullomb, Alexis
  • Deshpande, Atul
    • ORCID: https://orcid.org/0000-0001-5144-6924
    • Other Affiliation: Cancer Convergence Institute and Division of Quantitative Sciences, Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA
  • Feng, Yuzhou
  • Jeganathan, Pratheepa
  • Loth, Melanie
    • Other Affiliation: Cancer Convergence Institute and Division of Quantitative Sciences, Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA
  • Meng, Chen
    • Other Affiliation: Bavarian Center for Biomolecular Mass Spectrometry (BayBioMS), School of Life Sciences, Technical University of Munich, Munich, Germany
  • Mu, Wancen
  • Pancaldi, Vera
  • Sankaran, Kris
  • Righelli, Dario
  • Singh, Amrit
    • Other Affiliation: Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
  • Sodicoff, Joshua S.
    • Other Affiliation: Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
  • Stein-O’Brien, Genevieve L.
  • Subramanian, Ayshwarya
  • Welch, Joshua D.
  • You, Yue
    • Other Affiliation: Epigenetics and Development Division, The Walter and Eliza Hall Institute of Medical Research, University of Melbourne, Melbourne, Australia
  • Argelaguet, Ricard
  • Carey, Vincent J.
  • Dries, Ruben
  • Greene, Casey S.
    • ORCID: https://orcid.org/0000-0001-8713-9213
    • Other Affiliation: Center for Health AI and Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, CO, USA
  • Holmes, Susan
  • Love, Michael I.
  • Ritchie, Matthew E.
    • ORCID: https://orcid.org/0000-0002-7383-0609
    • Other Affiliation: Epigenetics and Development Division, The Walter and Eliza Hall Institute of Medical Research, University of Melbourne, Melbourne, Australia
  • Yuan, Guo-Cheng
    • Other Affiliation: Department of Genetics and Genomic Sciences, Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
  • Culhane, Aedin C.
  • Fertig, Elana
    • ORCID: https://orcid.org/0000-0003-3204-342X
    • Other Affiliation: Cancer Convergence Institute and Division of Quantitative Sciences, Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA
Abstract

  • Biological systems are fundamentally multi-scale, with mostly uncharacterized molecular pathways, cellular actions, and cellular communities that collectively give rise to their function. While one high-throughput measurement technology can resolve specific biological molecules, comprehensive characterization of biological systems can only be achieved by integration of multi-modal data types across molecular, cellular, spatial, and population scales. The integration of heterogeneous and complementary assays from multi-omics can reveal interactions between modalities that drive biological systems and processes. Recent advances in single-cell multi-omics technologies provide unprecedented opportunities for such multi-scale characterization but interpreting biological processes from these data requires parallel advances in novel computational techniques.

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Resource type
  • Article
Rights statement
  • In Copyright
License
  • Attribution 4.0 International
Journal title
  • Genome Biology
Journal volume
  • 22
Journal issue
  • 1
Page start
  • 220
Version
  • Publisher
Funder
  • National Institute of Dental and Craniofacial Research
  • National Human Genome Research Institute
  • United States Department of Defense
  • Canadian Institutes of Health Research
  • Lustgarten Foundation
  • National Institute of Mental Health
  • Australian Research Council
  • National Institute on Aging
  • Mitacs
  • National Institute of Neurological Disorders and Stroke
  • Chan Zuckerberg Initiative (United States)
  • National Cancer Institute
  • National Institute of Allergy and Infectious Diseases
  • Michael Smith Health Research BC
ISSN
  • 1474-760X
  • 1465-6906
Publisher
  • Springer Nature

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