Rxivist logo

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

By Huidong Chen, Luca Albergante, Jonathan Y Hsu, Caleb A. Lareau, Giosue` Lo Bosco, Jihong Guan, Shuigeng Zhou, Alexander N Gorban, Daniel E Bauer, Martin J. Aryee, David M. Langenau, Andrei Zinovyev, Jason D. Buenrostro, Guo-Cheng Yuan, Luca Pinello

Posted 18 Apr 2018
bioRxiv DOI: 10.1101/302554 (published DOI: 10.1038/s41467-019-09670-4)

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.

Download data

  • Downloaded 3,662 times
  • Download rankings, all-time:
    • Site-wide: 1,302 out of 89,267
    • In genomics: 278 out of 5,695
  • Year to date:
    • Site-wide: 17,792 out of 89,267
  • Since beginning of last month:
    • Site-wide: 28,859 out of 89,267

Altmetric data

Downloads over time

Distribution of downloads per paper, site-wide


Sign up for the Rxivist weekly newsletter! (Click here for more details.)