hECA

'hECA' is a software tool that addresses the challenge of integrating massive single-cell omics data into a unified cell atlas for human organs or the entire body. The goal of this tool is to create a cell-centric assembly of data, rather than file-centric, by bringing together scattered information from different sources. Key features and outcomes of hECA include:

1. Unified Informatics Framework: hECA provides a unified informatics framework that allows for the seamless assembly of data, focusing on a cell-centric approach.
2. Human Ensemble Cell Atlas (hECA): Version 1.0 of hECA assembled a total of 1,093,299 labeled human cells from 116 published datasets. This comprehensive assembly spans 38 organs and 11 systems within the human body.
3. Innovative Atlas Applications: hECA introduces three novel methods for applying the assembled atlas data. These methods leverage the cell-centric approach and provide new insights and possibilities for exploring cellular biology.

Topic

Cell biology;Sequence assembly;Metabolomics;Regenerative medicine;Human biology

Detail

  • Operation: Sequence assembly;Data retrieval;Sorting;Gene expression profiling;Essential dynamics

  • Software interface: Database, Web user interface

  • Language: -

  • License: Not stated

  • Cost: -

  • Version name: v1.0

  • Credit: National Key R&D Program of China grant, NSFC, the Tsinghua-Fuzhou Institute of Data Technologies.

  • Input: -

  • Output: -

  • Contact: Xuegong Zhang zhangxg@tsinghua.edu.cn

  • Collection: -

  • Maturity: -

Publications

Download and documentation

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