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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2408.06563 |
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| _version_ | 1866914911316082688 |
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| author | 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 Triche Jr., Timothy J. Tsankov, Alex van der Laan, Sander W. Yajima, Masanao Yang, Jean Zanini, Fabio Jelic, Ivana |
| author_facet | 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 Triche Jr., Timothy J. Tsankov, Alex van der Laan, Sander W. Yajima, Masanao Yang, Jean Zanini, Fabio Jelic, Ivana |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_06563 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Insights, opportunities and challenges provided by large cell atlases 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 Triche Jr., Timothy J. Tsankov, Alex van der Laan, Sander W. Yajima, Masanao Yang, Jean Zanini, Fabio Jelic, Ivana Genomics 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. |
| title | Insights, opportunities and challenges provided by large cell atlases |
| topic | Genomics |
| url | https://arxiv.org/abs/2408.06563 |