bioRxivBioinformaticsPreprint
PIVOT: an open-source tool for multi-omic spatial data registration
André ForjaziD, Valentina Matos-RomeroiD, Ian Reucroft, Margaret EminizeriD, Donald KrameriD, Daniela Higuera, Hengameh MojdeganlouiD, Paola A. GuerreroiD, Jimin MiniD, Meredith WetzeliD, Dmitrijs LvovsiD, Alens ValentiniD, Sarah M. ShiniD, Xuan YuaniD, Rosalie C. SearsiD, Koei ChiniD, Anirban MaitraiD, Elana Judith FertigiD, Won Jin HoiD, Luciane Tsukamoto KagoharaiD, Laura DeLong WoodiD, Denis WirtziD, Dimitrios N. SidiropoulosiD, Ashley L. KiemeniD
Abstract
Advances in spatial profiling have resulted in the generation of multi-omic atlases that span biological scales. In general, multiple workflows are required for image registration, coordinate registration, and spot deconvolution to integrate modalities. To improve the throughput of registration of multi-omic cohorts, we introduce PIVOT, a user-friendly and open-source interface for streamlined nonlinear registration. We demonstrate PIVOTs strengths through registration of three multi-omic datasets, and show comparison of its performance to existing workflows.
- assay: spatial transcriptomics
- research focus: batch correction / integration
- approach: experimental assay
- Citations
- 4
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