{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Chen Y"],"funding":["Shenzhen Science and Technology","Chinese Academy of Medical Sciences","CAMS Innovation Fund for Medical Sciences","Gusu Innovation and Entrepreneurship","Natural Science Foundation of Jiangsu Province"],"pagination":["D1150-D1159"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9825432"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["51(D1)"],"pubmed_abstract":["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 communic"],"journal":["Nucleic acids research"],"pubmed_title":["SPEED: Single-cell Pan-species atlas in the light of Ecology and Evolution for Development and Diseases."],"pmcid":["PMC9825432"],"funding_grant_id":["BK20220279","2021-I2M-1-061","JCYJ20210324125413036","2022-RC416-01","ZXL2022475"],"pubmed_authors":["Peng X","Liu H","Chen P","Shen J","Li C","Yue Q","Wang F","Ding P","Wang H","Huang L","Jin Y","Li M","Chen D","Zhang W","Pu M","Chang A","Jia T","Xiao J","Zhang X","Guo G","Chen Y","Wang X"],"additional_accession":[]},"is_claimable":false,"name":"SPEED: Single-cell Pan-species atlas in the light of Ecology and Evolution for Development and Diseases.","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 communic","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Jan","modification":"2026-03-27T15:40:05.628Z","creation":"2025-04-05T17:04:29.8Z"},"accession":"S-EPMC9825432","cross_references":{"pubmed":["36305818"],"doi":["10.1093/nar/gkac930"]}}