| Literature DB >> 31428793 |
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.Entities:
Mesh:
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