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citation_publication_date: 2019/09/26
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citation_author_institution: Quantitative and Computational Biology Group, Max Planck Institute for Biophysical Chemistry, Am Fassberg 11, 37077 Goettingen, Germany
citation_title: Reconstructing complex lineage trees from scRNA-seq data using MERLoT
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citation_reference: citation_title=Droplet barcoding for single-cell transcriptomics applied to embryonic stem cells;  citation_journal_title=Cell;  citation_year=2015;  citation_volume=161;  citation_pages=1187-1201; 
citation_publisher: Narnia
citation_journal_title: Nucleic Acids Research
description: Abstract.  Advances in single-cell transcriptomics techniques are revolutionizing studies of cellular differentiation and heterogeneity. It has become possible 
title: Reconstructing complex lineage trees from scRNA-seq data using MERLoT | Nucleic Acids Research | Oxford Academic
og:description: Abstract.  Advances in single-cell transcriptomics techniques are revolutionizing studies of cellular differentiation and heterogeneity. It has become possible 
citation_keyword: genes
citation_issn: 0305-1048
dc:title: Reconstructing complex lineage trees from scRNA-seq data using MERLoT | Nucleic Acids Research | Oxford Academic
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citation_journal_abbrev: Nucleic Acids Res
og:title: Reconstructing complex lineage trees from scRNA-seq data using MERLoT
citation_author: Parra, R Gonzalo
og:updated_time: 2019-08-20
citation_issue: 17
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citation_doi: 10.1093/nar/gkz706
citation_volume: 47
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