Insights, opportunities and challenges provided by large cell atlases

arXiv - QuanBio - Genomics Pub Date : 2024-08-13 DOI:arxiv-2408.06563

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

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Abstract

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.

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大型细胞图谱提供的见解、机遇和挑战

单细胞生物学领域发展迅速，正在产生来自各种物种、疾病、组织和器官的大量数据。在 CZI CELLxGENE、HuBMAP、Broad InstituteSingle Cell Portal 和 DISCO 等机构的协调努力下，研究人员可以访问大量经过整理的数据集。虽然大部分数据来自 scRNAseq 实验，但也有大量其他模式的数据。这些资源为建立和扩展计算生物学生态系统创造了机会，以开发数据再利用和提取新生物学见解所需的工具。在此，我们将重点介绍迄今为止取得的成就、需要进一步发展的领域以及需要克服的具体挑战。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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arXiv - QuanBio - Genomics

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