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Tempora: cell trajectory inference using time-series single-cell RNA sequencing data |
= Tempora: cell trajectory inference using time-series single-cell RNA sequencing data = |
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this is the supplementary data page for Tempora | '''Tempora source code is at [[https://github.com/BaderLab/Tempora]]''' |
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link to github | == This page contains sample data for Tempora == |
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Link to data | [[attachment:HSMM.RData|Human muscle cell development time course scRNA-seq data (99.5 MB)]] [[attachment:MouseCortex.RData|Mouse brain cortex development time course scRNA-seq data (1.02 GB)]] |
Tempora: cell trajectory inference using time-series single-cell RNA sequencing data
Tempora is a novel cell trajectory inference method that orders cells using time information from time-series scRNAseq data. Tempora uses biological pathway information to help identify cell type relationships and can identify important time-dependent pathways to help interpret the inferred trajectory.
Tempora source code is at https://github.com/BaderLab/Tempora
This page contains sample data for Tempora
Human muscle cell development time course scRNA-seq data (99.5 MB)
Mouse brain cortex development time course scRNA-seq data (1.02 GB)