Spatial Multi-Omics
Multicellular organisms exhibit complex three-dimensional architectures where proper physiological function depends on precise spatial arrangements across molecular, cellular, and tissue scales. Capturing these arrangements—by spatially mapping molecular profiles and cellular organization within their native biological context—is critical for understanding both normal physiology and disease pathology. In recent years, transformative methodological innovations in both experimental technologies and computational analysis frameworks have greatly expanded our ability to systematically and quantitatively reveal the spatial organization of genome architecture, gene and protein expression, metabolic activity, and organellar structures with unprecedented resolution and precision.
The Spatial Multi-Omics conference will bring together leading experts in spatial genomics, transcriptomics, proteomics, metabolomics, and ultrastructural cellular mapping, as well as multi-modality data integration and machine learning approaches. Participants will share the latest technical advances and applications, explore emerging frontiers, and foster interdisciplinary dialogue aimed at unlocking new insights into multi-dimensional biology of tissues and whole organisms.
Janelia will cover lodging and meals for all participants, and travel support is available to those in need (please indicate need in that portion of the application). Participants are expected to stay for the duration of the meeting.
The meeting will begin at 6pm ET on the first day and end by 1pm ET on the last.
Applications are now closed.
Invited Participants
View the list of invited participants.
Please note: Because Janelia conferences are intentionally small and selective, we may not be able to accommodate all applicants. We strive for a broad representation across labs and therefore may limit participation to one person per group. Preference is given to applicants who are active researchers in the field and intend to present their work as a poster or selected talk.
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