Preface I. Introduction 1 Single-Cell Genomics, Transcriptomics and Epigenomics: Current State and Future Perspectives Prof. Parwinder Kaur Prof. Om P. Rajora Dr. Sarah A. Teichmann, Wellcome Trust Sanger Institute, UK II. Single-Cell Genomics Technologies and Experimental Designs 2 Single-cell genomics Prof.
Stephen R. Quake, Stanford, California 94304, USA Prof. Paul Soloway, Cornell University, USA Dr. Robert Salomon, IBMD, University of Technology, Sydney, Australia 3 Single-cell transcriptomics Dr. Christoph Ziegenhain, Ludwig-Maximilians University, Germany 4 Single-cell epigenomics Prof. Amos Tanay, Weizmann Institute, Israel 5 Single-cell metagenomics Prof. Andrew C. Tolonen, Broad Institute of MIT and Harvard University, USA 6 Single-cell Hi-C Prof.
Erez Aiden Lieberman and Dr. Olga Dudchenko, Baylor College of Medicine, USA 7 Single-cell ATAC-Seq Prof. Paul Soloway, Cornell University, USA 8 Practical considerations for designing single-cell experiments Dr. David Gallgo Ortega, Garvan Institute of Medical Research, Australia III. Single-Cell Omics Data Analysis and Bioinformatics 9 Visualization of single-cell genomic, transcriptomic and epigenomic data Prof. Evan W Newell, Singapore. Fred Hutchinson Cancer Research Center, Seattle, Washington, USA. 10 Addressing the problem of large single-cell genomic, transcriptomic and epigenomic data Dr.
Bhavna Hurgobin and Prof. Parwinder Kaur, WAU, Australia 11 Data analysis tools and statistical methods Prof. Alicia Oshlack, WEHI/MCRI, Australia 12 Role of Artificial Intelligence (AI) and deep learning Dr. Andrew Butler, Shiwei Zheng NYGC, New York University, USA 13 Overview of clustering methods and batch effects in single-cell RNA Sequencing Dr. Kim-Anh Le Cao, University of Melbourne, Australia 14 Best practices for single-cell RNA-Seq data analysis Prof. Martin Hemberg, Wellcome Trust Sanger Institute, UK 15 Advanced disease modeling Dr. Paulina M. Strzelecka, Wellcome Trust Sanger Institute, UK IV.
Inter-cellular Population Genomic Diversity, Specialization and Taxonomy 16 Tracking mutations, copy number variations, and chromosomal aberrations at the single-cell level Dr. Stephanie Lauer, NYU, USA 17 Defining cell types and states from single-cell genomics Prof. Cole Trapnell, University of Washington, USA 18 Unravelling single cell heterogeneity using single-cell RNA sequencing and understanding function of cellular specialization Prof. Qiaolin Deng, , Karolinska Institutet, Sweden; Prof. Evan Z. Macosko, Broad Institute of MIT and Harvard, USA 19 Building a taxonomy of the cells Prof. David Scadden, Massachusetts General Hospital/Harvard University, USA 20 Characterization of the epigenetic landscape of cellular populations Prof. Richard Bonneau, New York University, USA Prof.
Jason D. Buenrostro, Stanford University School of Medicine, USA 21 Microbial population genetics using single-cell genomics Prof. Karin Rengefors, Lund University, Sweden V. Spatial and Temporal Gene Regulation Dynamics 22 Spatial and temporal gene regulation dynamics at the single-cell level Dr. Andreas Sagner, The Francis Crick Institute, UK 23 Single-cell spatial and temporal gene expression patterns in mice Dr. Chen-Hsiang Yeang, Institute of Statistical Science, Academia Sinica, Nankang, Taipei, Taiwan 24 Single-cell spatial and temporal gene expression patterns in humans Prof. Stefan Semrau, Leiden University, The Netherlands VI. Development, Regeneration and Evolution Perspectives 25 New insights into cellular development and evolution from single-cell genomics Dr.
Detlev Arendt, University of Heidelberg, Germany and Dr. Jeff Farrell, Harvard University, USA 26 Assessing embryo development and regeneration via single-cell RNA-Seq Prof. Richard M. Harland, University of California, Berkeley, Berkeley, USA. 27 Reconstructing lineages from single-cell genomics Dr. Michael A. Lodato, Harvard Medical School, USA VII. Human Diseases and Medicine Perspectives 28 Understanding human diseases using single-cell omics approaches Prof.
Rong Fan, Yale University, USA 29 Single-cell omics for personalized medicine Prof. Mikael Benson, Linkoping University, Sweden 30 Advancing understanding of cancer using single-cell transcriptomics Dr. Fatima Valdes Mora, Garvan Institute of Medical Research, Australia 31 Dissecting Alzheimer''s disease at the single-cell level Prof. Li-Huei Tsai, Broad Institute of MIT and Harvard, USA 32 Single-cell mass cytometry of differential immune and drug responses Dr. Sean C. Bendall, Stanford University, USA VIII. Plant Genetics and Breeding Perspectives 33 Challenges and opportunities of single-cell genomics, transcriptomics and epigenomics in plants Prof. Ryan Lister, UWA, Australia 34 Systems biology of plants at the single-cell level Prof.
John Schiefelbein, University of Michigan, USA 35 Single-cell genomics for new and enhanced green revolution Dr. Jack Satterlee and Prof. Michael Scanlon, Cornell University, USA IX. Integration of Single-cell Genomics, Transcriptomics and Epigenomics 36 Single-cell genome, transcriptome and epigenome sequencing Prof. Wolf Reik, Wellcome Trust Sanger Institute, UK 37 Integration and harmonization of single-cell genomic, transcriptomic and epigenomic data Dr. Rahul Satija, NYGC/NYU, USA 38 Integration of single cell RNA-Seq with CRISPR/Cas9 Prof. Alexander F. Schier, Broad Institute of MIT and Harvard, USA Index.