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SCPortalen: human and mouse single-cell centric database
Published single-cell datasets are rich resources for investigators who want to address questions not originally asked by the creators of the datasets. The single-cell datasets might be obtained by different protocols and diverse analysis strategies. The main challenge in utilizing such single-cell...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753281/ https://www.ncbi.nlm.nih.gov/pubmed/29045713 http://dx.doi.org/10.1093/nar/gkx949 |
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author | Abugessaisa, Imad Noguchi, Shuhei Böttcher, Michael Hasegawa, Akira Kouno, Tsukasa Kato, Sachi Tada, Yuhki Ura, Hiroki Abe, Kuniya Shin, Jay W Plessy, Charles Carninci, Piero Kasukawa, Takeya |
author_facet | Abugessaisa, Imad Noguchi, Shuhei Böttcher, Michael Hasegawa, Akira Kouno, Tsukasa Kato, Sachi Tada, Yuhki Ura, Hiroki Abe, Kuniya Shin, Jay W Plessy, Charles Carninci, Piero Kasukawa, Takeya |
author_sort | Abugessaisa, Imad |
collection | PubMed |
description | Published single-cell datasets are rich resources for investigators who want to address questions not originally asked by the creators of the datasets. The single-cell datasets might be obtained by different protocols and diverse analysis strategies. The main challenge in utilizing such single-cell data is how we can make the various large-scale datasets to be comparable and reusable in a different context. To challenge this issue, we developed the single-cell centric database ‘SCPortalen’ (http://single-cell.clst.riken.jp/). The current version of the database covers human and mouse single-cell transcriptomics datasets that are publicly available from the INSDC sites. The original metadata was manually curated and single-cell samples were annotated with standard ontology terms. Following that, common quality assessment procedures were conducted to check the quality of the raw sequence. Furthermore, primary data processing of the raw data followed by advanced analyses and interpretation have been performed from scratch using our pipeline. In addition to the transcriptomics data, SCPortalen provides access to single-cell image files whenever available. The target users of SCPortalen are all researchers interested in specific cell types or population heterogeneity. Through the web interface of SCPortalen users are easily able to search, explore and download the single-cell datasets of their interests. |
format | Online Article Text |
id | pubmed-5753281 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-57532812018-01-05 SCPortalen: human and mouse single-cell centric database Abugessaisa, Imad Noguchi, Shuhei Böttcher, Michael Hasegawa, Akira Kouno, Tsukasa Kato, Sachi Tada, Yuhki Ura, Hiroki Abe, Kuniya Shin, Jay W Plessy, Charles Carninci, Piero Kasukawa, Takeya Nucleic Acids Res Database Issue Published single-cell datasets are rich resources for investigators who want to address questions not originally asked by the creators of the datasets. The single-cell datasets might be obtained by different protocols and diverse analysis strategies. The main challenge in utilizing such single-cell data is how we can make the various large-scale datasets to be comparable and reusable in a different context. To challenge this issue, we developed the single-cell centric database ‘SCPortalen’ (http://single-cell.clst.riken.jp/). The current version of the database covers human and mouse single-cell transcriptomics datasets that are publicly available from the INSDC sites. The original metadata was manually curated and single-cell samples were annotated with standard ontology terms. Following that, common quality assessment procedures were conducted to check the quality of the raw sequence. Furthermore, primary data processing of the raw data followed by advanced analyses and interpretation have been performed from scratch using our pipeline. In addition to the transcriptomics data, SCPortalen provides access to single-cell image files whenever available. The target users of SCPortalen are all researchers interested in specific cell types or population heterogeneity. Through the web interface of SCPortalen users are easily able to search, explore and download the single-cell datasets of their interests. Oxford University Press 2018-01-04 2017-10-17 /pmc/articles/PMC5753281/ /pubmed/29045713 http://dx.doi.org/10.1093/nar/gkx949 Text en © The Author(s) 2017. 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 | Database Issue Abugessaisa, Imad Noguchi, Shuhei Böttcher, Michael Hasegawa, Akira Kouno, Tsukasa Kato, Sachi Tada, Yuhki Ura, Hiroki Abe, Kuniya Shin, Jay W Plessy, Charles Carninci, Piero Kasukawa, Takeya SCPortalen: human and mouse single-cell centric database |
title | SCPortalen: human and mouse single-cell centric database |
title_full | SCPortalen: human and mouse single-cell centric database |
title_fullStr | SCPortalen: human and mouse single-cell centric database |
title_full_unstemmed | SCPortalen: human and mouse single-cell centric database |
title_short | SCPortalen: human and mouse single-cell centric database |
title_sort | scportalen: human and mouse single-cell centric database |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753281/ https://www.ncbi.nlm.nih.gov/pubmed/29045713 http://dx.doi.org/10.1093/nar/gkx949 |
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