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Challenges and emerging directions in single-cell analysis
Single-cell analysis is a rapidly evolving approach to characterize genome-scale molecular information at the individual cell level. Development of single-cell technologies and computational methods has enabled systematic investigation of cellular heterogeneity in a wide range of tissues and cell po...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5421338/ https://www.ncbi.nlm.nih.gov/pubmed/28482897 http://dx.doi.org/10.1186/s13059-017-1218-y |
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author | Yuan, Guo-Cheng Cai, Long Elowitz, Michael Enver, Tariq Fan, Guoping Guo, Guoji Irizarry, Rafael Kharchenko, Peter Kim, Junhyong Orkin, Stuart Quackenbush, John Saadatpour, Assieh Schroeder, Timm Shivdasani, Ramesh Tirosh, Itay |
author_facet | Yuan, Guo-Cheng Cai, Long Elowitz, Michael Enver, Tariq Fan, Guoping Guo, Guoji Irizarry, Rafael Kharchenko, Peter Kim, Junhyong Orkin, Stuart Quackenbush, John Saadatpour, Assieh Schroeder, Timm Shivdasani, Ramesh Tirosh, Itay |
author_sort | Yuan, Guo-Cheng |
collection | PubMed |
description | Single-cell analysis is a rapidly evolving approach to characterize genome-scale molecular information at the individual cell level. Development of single-cell technologies and computational methods has enabled systematic investigation of cellular heterogeneity in a wide range of tissues and cell populations, yielding fresh insights into the composition, dynamics, and regulatory mechanisms of cell states in development and disease. Despite substantial advances, significant challenges remain in the analysis, integration, and interpretation of single-cell omics data. Here, we discuss the state of the field and recent advances and look to future opportunities. |
format | Online Article Text |
id | pubmed-5421338 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-54213382017-05-12 Challenges and emerging directions in single-cell analysis Yuan, Guo-Cheng Cai, Long Elowitz, Michael Enver, Tariq Fan, Guoping Guo, Guoji Irizarry, Rafael Kharchenko, Peter Kim, Junhyong Orkin, Stuart Quackenbush, John Saadatpour, Assieh Schroeder, Timm Shivdasani, Ramesh Tirosh, Itay Genome Biol Open Letter Single-cell analysis is a rapidly evolving approach to characterize genome-scale molecular information at the individual cell level. Development of single-cell technologies and computational methods has enabled systematic investigation of cellular heterogeneity in a wide range of tissues and cell populations, yielding fresh insights into the composition, dynamics, and regulatory mechanisms of cell states in development and disease. Despite substantial advances, significant challenges remain in the analysis, integration, and interpretation of single-cell omics data. Here, we discuss the state of the field and recent advances and look to future opportunities. BioMed Central 2017-05-08 /pmc/articles/PMC5421338/ /pubmed/28482897 http://dx.doi.org/10.1186/s13059-017-1218-y Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Open Letter Yuan, Guo-Cheng Cai, Long Elowitz, Michael Enver, Tariq Fan, Guoping Guo, Guoji Irizarry, Rafael Kharchenko, Peter Kim, Junhyong Orkin, Stuart Quackenbush, John Saadatpour, Assieh Schroeder, Timm Shivdasani, Ramesh Tirosh, Itay Challenges and emerging directions in single-cell analysis |
title | Challenges and emerging directions in single-cell analysis |
title_full | Challenges and emerging directions in single-cell analysis |
title_fullStr | Challenges and emerging directions in single-cell analysis |
title_full_unstemmed | Challenges and emerging directions in single-cell analysis |
title_short | Challenges and emerging directions in single-cell analysis |
title_sort | challenges and emerging directions in single-cell analysis |
topic | Open Letter |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5421338/ https://www.ncbi.nlm.nih.gov/pubmed/28482897 http://dx.doi.org/10.1186/s13059-017-1218-y |
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