Literature DB >> 31428793

Reconstructing complex lineage trees from scRNA-seq data using MERLoT.

R Gonzalo Parra1,2, Nikolaos Papadopoulos1, Laura Ahumada-Arranz1, Jakob El Kholtei1, Noah Mottelson1, Yehor Horokhovsky1, Barbara Treutlein3,4, Johannes Soeding1.   

Abstract

Advances in single-cell transcriptomics techniques are revolutionizing studies of cellular differentiation and heterogeneity. It has become possible to track the trajectory of thousands of genes across the cellular lineage trees that represent the temporal emergence of cell types during dynamic processes. However, reconstruction of cellular lineage trees with more than a few cell fates has proved challenging. We present MERLoT (https://github.com/soedinglab/merlot), a flexible and user-friendly tool to reconstruct complex lineage trees from single-cell transcriptomics data. It can impute temporal gene expression profiles along the reconstructed tree. We show MERLoT's capabilities on various real cases and hundreds of simulated datasets.
© The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Year:  2019        PMID: 31428793      PMCID: PMC6755101          DOI: 10.1093/nar/gkz706

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  24 in total

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