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SPEED: Single-cell Pan-species atlas in the light of Ecology and Evolution for Development and Diseases
It is a challenge to efficiently integrate and present the tremendous amounts of single-cell data generated from multiple tissues of various species. Here, we create a new database named SPEED for single-cell pan-species atlas in the light of ecology and evolution for development and diseases (freel...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825432/ https://www.ncbi.nlm.nih.gov/pubmed/36305818 http://dx.doi.org/10.1093/nar/gkac930 |
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author | Chen, Yangfeng Zhang, Xingliang Peng, Xi Jin, Yicheng Ding, Peiwen Xiao, Jiedan Li, Changxiao Wang, Fei Chang, Ashley Yue, Qizhen Pu, Mingyi Chen, Peixin Shen, Jiayi Li, Mengrou Jia, Tengfei Wang, Haoyu Huang, Li Guo, Guoji Zhang, Wensheng Liu, Hebin Wang, Xiangdong Chen, Dongsheng |
author_facet | Chen, Yangfeng Zhang, Xingliang Peng, Xi Jin, Yicheng Ding, Peiwen Xiao, Jiedan Li, Changxiao Wang, Fei Chang, Ashley Yue, Qizhen Pu, Mingyi Chen, Peixin Shen, Jiayi Li, Mengrou Jia, Tengfei Wang, Haoyu Huang, Li Guo, Guoji Zhang, Wensheng Liu, Hebin Wang, Xiangdong Chen, Dongsheng |
author_sort | Chen, Yangfeng |
collection | PubMed |
description | It is a challenge to efficiently integrate and present the tremendous amounts of single-cell data generated from multiple tissues of various species. Here, we create a new database named SPEED for single-cell pan-species atlas in the light of ecology and evolution for development and diseases (freely accessible at http://8.142.154.29 or http://speedatlas.net). SPEED is an online platform with 4 data modules, 7 function modules and 2 display modules. The ‘Pan’ module is applied for the interactive analysis of single cell sequencing datasets from 127 species, and the ‘Evo’, ‘Devo’, and ‘Diz’ modules provide comprehensive analysis of single-cell atlases on 18 evolution datasets, 28 development datasets, and 85 disease datasets. The ‘C2C’, ‘G2G’ and ‘S2S’ modules explore intercellular communications, genetic regulatory networks, and cross-species molecular evolution. The ‘sSearch’, ‘sMarker’, ‘sUp’, and ‘sDown’ modules allow users to retrieve specific data information, obtain common marker genes for cell types, freely upload, and download single-cell datasets, respectively. Two display modules (‘HOME’ and ‘HELP’) offer easier access to the SPEED database with informative statistics and detailed guidelines. All in all, SPEED is an integrated platform for single-cell RNA sequencing (scRNA-seq) and single-cell whole-genome sequencing (scWGS) datasets to assist the deep-mining and understanding of heterogeneity among cells, tissues, and species at multi-levels, angles, and orientations, as well as provide new insights into molecular mechanisms of biological development and pathogenesis. |
format | Online Article Text |
id | pubmed-9825432 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-98254322023-01-10 SPEED: Single-cell Pan-species atlas in the light of Ecology and Evolution for Development and Diseases Chen, Yangfeng Zhang, Xingliang Peng, Xi Jin, Yicheng Ding, Peiwen Xiao, Jiedan Li, Changxiao Wang, Fei Chang, Ashley Yue, Qizhen Pu, Mingyi Chen, Peixin Shen, Jiayi Li, Mengrou Jia, Tengfei Wang, Haoyu Huang, Li Guo, Guoji Zhang, Wensheng Liu, Hebin Wang, Xiangdong Chen, Dongsheng Nucleic Acids Res Database Issue It is a challenge to efficiently integrate and present the tremendous amounts of single-cell data generated from multiple tissues of various species. Here, we create a new database named SPEED for single-cell pan-species atlas in the light of ecology and evolution for development and diseases (freely accessible at http://8.142.154.29 or http://speedatlas.net). SPEED is an online platform with 4 data modules, 7 function modules and 2 display modules. The ‘Pan’ module is applied for the interactive analysis of single cell sequencing datasets from 127 species, and the ‘Evo’, ‘Devo’, and ‘Diz’ modules provide comprehensive analysis of single-cell atlases on 18 evolution datasets, 28 development datasets, and 85 disease datasets. The ‘C2C’, ‘G2G’ and ‘S2S’ modules explore intercellular communications, genetic regulatory networks, and cross-species molecular evolution. The ‘sSearch’, ‘sMarker’, ‘sUp’, and ‘sDown’ modules allow users to retrieve specific data information, obtain common marker genes for cell types, freely upload, and download single-cell datasets, respectively. Two display modules (‘HOME’ and ‘HELP’) offer easier access to the SPEED database with informative statistics and detailed guidelines. All in all, SPEED is an integrated platform for single-cell RNA sequencing (scRNA-seq) and single-cell whole-genome sequencing (scWGS) datasets to assist the deep-mining and understanding of heterogeneity among cells, tissues, and species at multi-levels, angles, and orientations, as well as provide new insights into molecular mechanisms of biological development and pathogenesis. Oxford University Press 2022-10-28 /pmc/articles/PMC9825432/ /pubmed/36305818 http://dx.doi.org/10.1093/nar/gkac930 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Database Issue Chen, Yangfeng Zhang, Xingliang Peng, Xi Jin, Yicheng Ding, Peiwen Xiao, Jiedan Li, Changxiao Wang, Fei Chang, Ashley Yue, Qizhen Pu, Mingyi Chen, Peixin Shen, Jiayi Li, Mengrou Jia, Tengfei Wang, Haoyu Huang, Li Guo, Guoji Zhang, Wensheng Liu, Hebin Wang, Xiangdong Chen, Dongsheng SPEED: Single-cell Pan-species atlas in the light of Ecology and Evolution for Development and Diseases |
title | SPEED: Single-cell Pan-species atlas in the light of Ecology and Evolution for Development and Diseases |
title_full | SPEED: Single-cell Pan-species atlas in the light of Ecology and Evolution for Development and Diseases |
title_fullStr | SPEED: Single-cell Pan-species atlas in the light of Ecology and Evolution for Development and Diseases |
title_full_unstemmed | SPEED: Single-cell Pan-species atlas in the light of Ecology and Evolution for Development and Diseases |
title_short | SPEED: Single-cell Pan-species atlas in the light of Ecology and Evolution for Development and Diseases |
title_sort | speed: single-cell pan-species atlas in the light of ecology and evolution for development and diseases |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825432/ https://www.ncbi.nlm.nih.gov/pubmed/36305818 http://dx.doi.org/10.1093/nar/gkac930 |
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