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Nature CommunicationsGenomicsPeer-reviewed journal article

STREAM: Single-cell Trajectories Reconstruction, Exploration And Mapping of omics data

Huidong CheniD, Luca AlberganteiD, Jonathan Y. HsuiD, Caleb A. LareauiD, Giosuè Lo BoscoiD, Jihong GuaniD, Shuigeng ZhouiD, Alexander N. GorbaniD, Daniel E. BaueriD, Martin J. AryeeiD, David M. LangenauiD, Andrei Y. ZinovyeviD, Jason Daniel BuenrostroiD, Guo‐Cheng YuaniD, Luca PinelloiD

PDFDOIPreprint
Citations
294
FWCI
12.74
Field percentile
top 1%

Abstract

Single-cell transcriptomic assays have enabled the de novo reconstruction of lineage differentiation trajectories, along with the characterization of cellular heterogeneity and state transitions. Several methods have been developed for reconstructing developmental trajectories from single-cell transcriptomic data, but efforts on analyzing single-cell epigenomic data and on trajectory visualization remain limited. Here we present STREAM, an interactive pipeline capable of disentangling and visualizing complex branching trajectories from both single-cell transcriptomic and epigenomic data.

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