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Reconstructing complex lineage trees from scRNA-seq data using MERLoT
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 proc...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6755101/ https://www.ncbi.nlm.nih.gov/pubmed/31428793 http://dx.doi.org/10.1093/nar/gkz706 |
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author | Parra, R Gonzalo Papadopoulos, Nikolaos Ahumada-Arranz, Laura Kholtei, Jakob El Mottelson, Noah Horokhovsky, Yehor Treutlein, Barbara Soeding, Johannes |
author_facet | Parra, R Gonzalo Papadopoulos, Nikolaos Ahumada-Arranz, Laura Kholtei, Jakob El Mottelson, Noah Horokhovsky, Yehor Treutlein, Barbara Soeding, Johannes |
author_sort | Parra, R Gonzalo |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6755101 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-67551012019-09-26 Reconstructing complex lineage trees from scRNA-seq data using MERLoT Parra, R Gonzalo Papadopoulos, Nikolaos Ahumada-Arranz, Laura Kholtei, Jakob El Mottelson, Noah Horokhovsky, Yehor Treutlein, Barbara Soeding, Johannes Nucleic Acids Res Computational Biology 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. Oxford University Press 2019-09-26 2019-08-20 /pmc/articles/PMC6755101/ /pubmed/31428793 http://dx.doi.org/10.1093/nar/gkz706 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Computational Biology Parra, R Gonzalo Papadopoulos, Nikolaos Ahumada-Arranz, Laura Kholtei, Jakob El Mottelson, Noah Horokhovsky, Yehor Treutlein, Barbara Soeding, Johannes Reconstructing complex lineage trees from scRNA-seq data using MERLoT |
title | Reconstructing complex lineage trees from scRNA-seq data using MERLoT |
title_full | Reconstructing complex lineage trees from scRNA-seq data using MERLoT |
title_fullStr | Reconstructing complex lineage trees from scRNA-seq data using MERLoT |
title_full_unstemmed | Reconstructing complex lineage trees from scRNA-seq data using MERLoT |
title_short | Reconstructing complex lineage trees from scRNA-seq data using MERLoT |
title_sort | reconstructing complex lineage trees from scrna-seq data using merlot |
topic | Computational Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6755101/ https://www.ncbi.nlm.nih.gov/pubmed/31428793 http://dx.doi.org/10.1093/nar/gkz706 |
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