Nature MethodsCancer BiologyPeer-reviewed journal article
Sharing Data from the Human Tumor Atlas Network through Standards, Infrastructure, and Community Engagement
Ino de BruijniD, Milen NikoloviD, Clarisse Lau, Ashley ClaytoniD, David L. GibbsiD, Elvira MitrakaiD, Dar’ya PozhidayevaiD, Alex LashiD, Selçuk Onur SümeriD, Jennifer AltreuteriD, Kristen AntoniD, Mialy M. DeFeliceiD, Xiang LiiD, Aaron LismaniD, William J. R. LongabaughiD, Jeremy L. MuhlichiD, Sandro SantagataiD, Subhiksha NandakumariD, Peter Karl SorgeriD, Christine SuveriD, Xengie DoaniD, Justin GuinneyiD, Nikolaus D. SchultziD, Adam J. TayloriD, Vésteinn ThórssoniD, , James A. EddyiD
Abstract
The Data Coordinating Center (DCC) of the Human Tumor Atlas Network (HTAN) has played a crucial role in enabling the broad sharing and effective utilization of HTAN data within the scienti[fi]c community. Data from the [fi]rst phase of HTAN are now available publicly. We describe the diverse datasets and modalities shared, multiple access routes to HTAN assay data and metadata, data standards, technical infrastructure and governance approaches, as well as our approach to sustained community engagement. HTAN data can be accessed via the HTAN Portal, explored in visualization tools--including CellxGene, Minerva, and cBioPortal--and analyzed in the cloud through the NCI Cancer Research Data Commons nodes. We have developed a streamlined infrastructure to ingest and disseminate data by leveraging the Synapse platform. Taken together, the HTAN DCCs approach demonstrates a successful model for coordinating, standardizing, and disseminating complex cancer research data via multiple resources in the cancer data ecosystem, offering valuable insights for similar consortia, and researchers looking to leverage HTAN data.
- organism: human
- assay: bulk RNA-seq
- research focus: database / resource
- research focus: benchmarking
- approach: experimental assay
- Citations
- 24
- FWCI
- 13.85
- Field percentile
- top 1%
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