• Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

Norway

HuBMAP Inaugural Data Release on September 1, 2020!

  • 05:34am September 2, 2020
  • Ko-Wei Lin

Here is the information from HuBMAP (the Human BioMolecular Atlas Program):

"

HuBMAP Data is Now Live at: portal.hubmapconsortium.org


HuBMAP (the Human BioMolecular Atlas Program) is proud to announce its inaugural data release of detailed, 3D anatomical data and genetic sequences of healthy tissues. Explore and visualize the available data through interactive tools developed by the Consortium via a public portal interface.

 

Data and tools generated by the consortium are intended for use by the broad research community. Biologists, computational researchers, educators, experimentalists, technology developers and many more audiences can glean real-world applications from the available data.


Data Overview: Seven organ types from 33 donors make up 315 samples and 371 datasets across three main modalities: mass spectrometry, microscopy and sequencing. Numerous assay types are available for each data modality. For more information on the available data follow this link

Data Portal: The data is now open to the public through the HuBMAP Data Portal. The portal is the central resource for discovery, visualization and download of single-cell tissue data generated by the consortium. Direct links to protocols performed on the samples and GitHub repositories are provided.

Common Coordinate Framework: HuBMAP’s ultimate goal is to provide the framework required for scientists to create a 3D atlas of the human body. The Common Coordinate Framework maps the locations of kidney and spleen samples against a human reference image. The CCF makes it possible to uniquely and effectively define and name any location in the human body. Multiple assay types are available to interact with for each reference organ.


Data Processing: Several pipelines were developed and implemented to uniformly process HuBMAP collected data. These include pipelines to process sequencing, imaging and mass spec data and for downstream analysis of specific data types. Pipelines developed for HuBMAP are open source and available to the research community and to other consortia.

Vitessce: Exploration of uniformly processed, spatially-resolved, integrated single-cell datasets is made possible through the Vitessce visual integration tool for exploration of spatial single-cell Experiments.

Future data releases will include additional organs, new assay types, updated metadata specifications and much more."


Source and more information: 
1. Hubmap Consortium email
2. https://hubmapconsortium.org/ 

Search

Recent dkNET News

Join HIRN Webinar: Emerging Role for Tissue-Specific Extracellular Vesicles in Disease Diagnosis: Implications for T1D on April 23

NIH Funding Opportunity: The Advancing Health Research through Ethical, Multimodal AI Initiative

Join NIH High-Risk, High-Reward Research (HRHR) Seminar to Learn Common Fund Programs and Resources on March 14, 2024

dkNET News Tags

About

The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant 2U24DK097771-09.

Recent News Entries

dkNET Office Hours: NIH Data Management and Sharing Mandates

Join HIRN Webinar: Emerging Role for Tissue-Specific Extracellular Vesicles in Disease Diagnosis: Implications for T1D on April 23

dkNET Webinar "Texera: A Scalable Cloud Computing Platform for Sharing Data and Workflow-Based Analyses"

Contact Us

Email: info_at_ dknet.org

Stay Connected

About SciCrunch | Privacy Policy | Terms of Service

SciCrunch
X

Are you sure you want to delete that component?