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...
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| creator | Hemberg, Martin Marini, Federico Ghazanfar, Shila Ajami, Ahmad Al Abassi, Najla Anchang, Benedict Benayoun, Bérénice A Cao, Yue Chen, Ken Cuesta-Astroz, Yesid DeBruine, Zach Dendrou, Calliope A De Vlaminck, Iwijn Imkeller, Katharina Korsunsky, Ilya Lederer, Alex R Meysman, Pieter Miller, Clint Mullan, Kerry Ohler, Uwe Patikas, Nikolaos Schuck, Jonas Siu, Jacqueline HY TricheJr, Timothy J Tsankov, Alex van der Laan, Sander W Yajima, Masanao Yang, Jean Zanini, Fabio Jelic, Ivana |
| description | 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. |
| doi_str_mv | 10.48550/arxiv.2408.06563 |
| format | Article |
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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
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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
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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.</abstract><doi>10.48550/arxiv.2408.06563</doi><oa>free_for_read</oa></addata></record> |
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| title | Insights, opportunities and challenges provided by large cell atlases |
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