Multi-Omics: The Full Picture
If you're interested in learning more about multi-omics, the latest advancements in the field, how to incorporate and utilize the different omics together, and how to approach and tackle data integration, our "Multi-Omics: The Full Picture" report is a must-read!
- Alex Tamburino, Director, Spatial and Multi-Omics Single-Cell Sequencing Lead, Merck Research Labs
- Andrew Smith, Post-Doc Researcher, University of Milano-Bicocca
- Andy Sharrocks, Professor, Division of Molecular and Cellular Function, University of Manchester
- Anna Wilbrey-Clark, Staff Scientist, Wellcome Sanger Institute
- David Ruau, Head of Strategic Alliances, Drug Discovery AI, NVIDIA
- Jeffrey Moffitt, Assistant Professor, Department of Microbiology, Harvard Medical School
- Jianguo (Jeff) Xia, Assistant Professor, Department of Bioinformatics and Big Data Analysis, McGill University
- John Quackenbush, Professor, Department of Computational Biology and Bioinformatics, Harvard T.H. Chan School of Public Health
- Kerstin Meyer, Principal Staff Scientist, Wellcome Sanger Institute
Koichi Takahashi, Associate Professor, Department of Leukemia, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center
- Lihua (Julie) Zhu, Professor, Department of Molecular, Cell and Cancer Biology, University of Massachusetts Chan Medical School
- Luciano Martelotto, Associate Professor, Single-cell and Spatial-Omics Lab, Adelaide Centre of Epigenetics, University of Adelaide
- Marshall Summar, Director, Rare Disease Institute Laboratory, Children’s National Hospital
- Mathew Chamberlain, Principal Scientist, Janssen
- Miao-Ping Chien, Assistant Professor, Department of Molecular Genetics, Erasmus University Medical Center, Principal Investigator, Oncode Institute
- Nikolai Slavov Associate Professor, Department of Bioengineering, Northeastern University
- Rebecca Mathew, Principal Scientist, Merck Research Labs
- Rong Fan Associate Professor, Department of Biomedical Engineering, Yale University
- Stephanie Byrum, Associate Professor, Department of Biochemistry and Molecular Biology, University of Arkansas at Little Rock
- Wanze Chen, Principal Investigator, Shenzhen Institute of Advanced Technology
- Chapter 1: The different omics techniques - In this chapter, we will delve into each “omic” and describe the key methods involved, insights derived and things to consider with advice and comments from experts in the field.
- Chapter 2: Spotlight on single-cell and spatial-omics – Here we explore what makes single-cell and spatial such powerful tools and discuss with our contributors specific considerations to take into account with single-cell or spatial. We also explore how to combine and utilise the best of both approaches together.
- Chapter 3: The multi-omics approach – A chapter full of case-studies, we explore how combining more than one “omic” can fill in the missing pieces in the “jigsaw” that is human biology and disease.
- Chapter 4: Data integration and bioinformatics – Data integration is often cited as one of the most challenging aspects of a multi-omics study. This chapter features a roundtable discussion with top developers and researchers, where we go through the specific challenges in data integration and bioinformatics.
- Chapter 5: Machine learning and AI – The use of AI and ML has allowed researchers to tackle big data at scale – however, these technologies come with their own limitations and considerations, which we cover in depth in this chapter.
- Chapter 6: The next dimension – time - All biological processes change over time – they are inherently dynamic. In this chapter, we explore innovative computational and experimental approaches that have allowed researchers to introduce temporal context into their multi-omics studies.
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