Abstract

Advances in single-cell transcriptomics techniques are revolutionising studies of cellular differentiation and heterogeneity. 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 tool to reconstruct complex lineage trees from single-cell transcriptomics data. We demonstrate MERLoT's robustness, flexibility and capabilities on various real and simulated datasets.

Footnotes

* Benchmark was updated. Code was updated to be faster. A section was added where we show the reconstruction of a gene regulatory network using imputed gene expression profiles.

Details

Title
Reconstructing complex lineage trees from scRNA-seq data using MERLoT
Author
R Gonzalo Parra; Papadopoulos, Nikolaos; Ahumada-Arranz, Laura; Jakob El Kholtei; Mottelson, Noah; Horokhovskyi, Yehor; Treutlein, Barbara; Soeding, Johannes
University/institution
Cold Spring Harbor Laboratory Press
Section
New Results
Publication year
2018
Publication date
Nov 16, 2018
Publisher
Cold Spring Harbor Laboratory Press
ISSN
2692-8205
Source type
Working Paper
Language of publication
English
ProQuest document ID
2071179252
Copyright
�� 2018. This article is published under http://creativecommons.org/licenses/by/4.0/ (���the License���). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.