Martin Hemberg, Federico Marini, Shila Ghazanfar, Ahmad Al Ajami, Najla Abassi, Benedict Anchang, Bérénice A. Benayoun, Yue Cao, Ken Chen, Yesid Cuesta-Astroz, Zach DeBruine, Calliope A. Dendrou, Iwijn De Vlaminck, Katharina Imkeller, Ilya Korsunsky, Alex R. Lederer, Pieter Meysman, Clint Miller, Kerry Mullan, Uwe Ohler, Nikolaos Patikas, Jonas Schuck, Jacqueline HY Siu, Timothy J. Triche Jr., Alex Tsankov, Sander W. van der Laan, Masanao Yajima, Jean Yang, Fabio Zanini, Ivana Jelic
{"title":"大型细胞图谱提供的见解、机遇和挑战","authors":"Martin Hemberg, Federico Marini, Shila Ghazanfar, Ahmad Al Ajami, Najla Abassi, Benedict Anchang, Bérénice A. Benayoun, Yue Cao, Ken Chen, Yesid Cuesta-Astroz, Zach DeBruine, Calliope A. Dendrou, Iwijn De Vlaminck, Katharina Imkeller, Ilya Korsunsky, Alex R. Lederer, Pieter Meysman, Clint Miller, Kerry Mullan, Uwe Ohler, Nikolaos Patikas, Jonas Schuck, Jacqueline HY Siu, Timothy J. Triche Jr., Alex Tsankov, Sander W. van der Laan, Masanao Yajima, Jean Yang, Fabio Zanini, Ivana Jelic","doi":"arxiv-2408.06563","DOIUrl":null,"url":null,"abstract":"The field of single-cell biology is growing rapidly and is generating large\namounts of data from a variety of species, disease conditions, tissues, and\norgans. Coordinated efforts such as CZI CELLxGENE, HuBMAP, Broad Institute\nSingle Cell Portal, and DISCO, allow researchers to access large volumes of\ncurated datasets. Although the majority of the data is from scRNAseq\nexperiments, a wide range of other modalities are represented as well. These\nresources have created an opportunity to build and expand the computational\nbiology ecosystem to develop tools necessary for data reuse, and for extracting\nnovel biological insights. Here, we highlight achievements made so far, areas\nwhere further development is needed, and specific challenges that need to be\novercome.","PeriodicalId":501070,"journal":{"name":"arXiv - QuanBio - Genomics","volume":"12 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Insights, opportunities and challenges provided by large cell atlases\",\"authors\":\"Martin Hemberg, Federico Marini, Shila Ghazanfar, Ahmad Al Ajami, Najla Abassi, Benedict Anchang, Bérénice A. Benayoun, Yue Cao, Ken Chen, Yesid Cuesta-Astroz, Zach DeBruine, Calliope A. Dendrou, Iwijn De Vlaminck, Katharina Imkeller, Ilya Korsunsky, Alex R. Lederer, Pieter Meysman, Clint Miller, Kerry Mullan, Uwe Ohler, Nikolaos Patikas, Jonas Schuck, Jacqueline HY Siu, Timothy J. Triche Jr., Alex Tsankov, Sander W. van der Laan, Masanao Yajima, Jean Yang, Fabio Zanini, Ivana Jelic\",\"doi\":\"arxiv-2408.06563\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The field of single-cell biology is growing rapidly and is generating large\\namounts of data from a variety of species, disease conditions, tissues, and\\norgans. Coordinated efforts such as CZI CELLxGENE, HuBMAP, Broad Institute\\nSingle Cell Portal, and DISCO, allow researchers to access large volumes of\\ncurated datasets. Although the majority of the data is from scRNAseq\\nexperiments, a wide range of other modalities are represented as well. These\\nresources have created an opportunity to build and expand the computational\\nbiology ecosystem to develop tools necessary for data reuse, and for extracting\\nnovel biological insights. Here, we highlight achievements made so far, areas\\nwhere further development is needed, and specific challenges that need to be\\novercome.\",\"PeriodicalId\":501070,\"journal\":{\"name\":\"arXiv - QuanBio - Genomics\",\"volume\":\"12 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - QuanBio - Genomics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2408.06563\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuanBio - Genomics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.06563","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Insights, opportunities and challenges provided by large cell atlases
The field of single-cell biology is growing rapidly and is generating large
amounts of data from a variety of species, disease conditions, tissues, and
organs. Coordinated efforts such as CZI CELLxGENE, HuBMAP, Broad Institute
Single Cell Portal, and DISCO, allow researchers to access large volumes of
curated datasets. Although the majority of the data is from scRNAseq
experiments, a wide range of other modalities are represented as well. These
resources have created an opportunity to build and expand the computational
biology ecosystem to develop tools necessary for data reuse, and for extracting
novel biological insights. Here, we highlight achievements made so far, areas
where further development is needed, and specific challenges that need to be
overcome.