Friday, November 22, 2024 11/22/2024

Enhance UCSC Xena: extend interactive visualization to ultra-large-scale multi-omics data and integrate with analysis resources

Award Number: U24CA258407
ORGANIZATION: NATIONAL CANCER INSTITUTE
OPDIV: NIH
AWARD CLASS: COOPERATIVE AGREEMENT
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

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Abstract Two significant paradigm shifts are underway in cancer genomics: single-cell genomic profiling and the growth of the NCI Cancer Research Data Commons. Single-cell genomics is transforming our understanding of complex tumor populations and revealing new insights into tumor composition, microenvironment, cancer stem cells, and drug resistance. Several large-scale, single-cell-focused, national and international projects are currently underway, including HCA, HTAN, and HuBMAP. Data generated by these projects will impact almost every aspect of biology and medicine. For these projects to realize their full potential, it is essential to have data visualization and analysis tools that make these resources accessible to a broad group of biomedical researchers. This is challenging, however, as existing data visualization and analysis tools simply cannot scale to handle these large datasets. The second paradigm shift is NCI’s development of the Cancer Research Data Commons (CRDC), a virtual data science infrastructure that connects cancer research data collections with analytical tools, leveraging the dynamic computing power of the cloud. Efficient and secure incorporation of widely-used 3rd party tools and platforms, including interactive visualization tools such as UCSC Xena, into CRDC is needed to make this resource truly useful. As both of these transitions continue to accelerate in the coming years, they present challenges and opportunities. We propose to enhance UCSC Xena to support and enable these transitions through four aims. Aim 1. We will scale up UCSC Xena by 100x to support the visualization of datasets with greater than 1 million cells (more generally, 1 million bio-entities) without any loss of data or interactivity in the web browser. We will employ several new advances in computer engineering to achieve this performance gain. In addition, we will develop three new visualizations to enable researchers to better explore single-cell data. Aim 2. We will securely integrate UCSC Xena with resources in the NCI CRDC and its community of data analysis tools and platforms. Our integration will make loading ending analysis results into a private Xena Hub in CRDC for visualization in the context of large public data a routine practice. Aim 3. We will provide visualization of the most current cancer genomics resource data through the expansion and update of UCSC Xena database with key projects and datasets. We will collaborate with the Treehouse Childhood Cancer Initiative to build a harmonized preclinical pediatric genomics data resource and make it publicly available on the Xena Browser. This work will leverage PDX models and brain tumor organoids currently being developed and profiled by Dr. Haussler’s group. Aim 4. We will improve user workflows and engagement through User Centered Design, as well as continue user education, support, and outreach.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2024 ( Subtotal = $728,574 )
2024	2024	UNIVERSITY OF CALIFORNIA SANTA CRUZ	1156 HIGH ST	SANTA CRUZ	CA	95064	SANTA CRUZ	USA	Cancer Biology Research	003	4	8/14/2024	NON-COMPETING CONTINUATION	$728,574
2024	2024	UNIVERSITY OF CALIFORNIA SANTA CRUZ	1156 HIGH ST	SANTA CRUZ	CA	95064	SANTA CRUZ	USA	Cancer Biology Research	004	4	8/28/2024	NON-COMPETING CONTINUATION	$0
2024	2023	UNIVERSITY OF CALIFORNIA SANTA CRUZ	1156 HIGH ST	SANTA CRUZ	CA	95064	SANTA CRUZ	USA	Cancer Biology Research	001	3	5/23/2024	NON-COMPETING CONTINUATION	$0
2024	2023	UNIVERSITY OF CALIFORNIA SANTA CRUZ	1156 HIGH ST	SANTA CRUZ	CA	95064	SANTA CRUZ	USA	Cancer Biology Research	000	3	4/2/2024	NON-COMPETING CONTINUATION	$40,759
2024	2023	UNIVERSITY OF CALIFORNIA SANTA CRUZ	1156 HIGH ST	SANTA CRUZ	CA	95064	SANTA CRUZ	USA	Cancer Biology Research	002	3	6/5/2024	NON-COMPETING CONTINUATION	-$40,759
														Subtotal = $728,574

Issue Date FY: 2023 ( Subtotal = $751,583 )
2023	2023	UNIVERSITY OF CALIFORNIA SANTA CRUZ	1156 HIGH ST	SANTA CRUZ	CA	95064	SANTA CRUZ	USA	Cancer Biology Research	001	3	8/17/2023	NON-COMPETING CONTINUATION	$751,583
2023	2022	UNIVERSITY OF CALIFORNIA SANTA CRUZ	1156 HIGH ST	SANTA CRUZ	CA	95064	SANTA CRUZ	USA	Cancer Biology Research	000	2	5/23/2023	NON-COMPETING CONTINUATION	$0
														Subtotal = $751,583

Issue Date FY: 2022 ( Subtotal = $751,583 )
2022	2022	UNIVERSITY OF CALIFORNIA SANTA CRUZ	1156 HIGH ST	SANTA CRUZ	CA	95064	SANTA CRUZ	USA	Cancer Biology Research	000	2	8/19/2022	NON-COMPETING CONTINUATION	$751,583
														Subtotal = $751,583

Issue Date FY: 2021 ( Subtotal = $766,920 )
2021	2021	UNIVERSITY OF CALIFORNIA, SANTA CRUZ	1156 HIGH ST	SANTA CRUZ	CA	95064	SANTA CRUZ	USA	Cancer Biology Research	000	1	6/15/2021	NEW	$766,920
														Subtotal = $766,920

Grand Total All Awards = $2,998,660

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Enhance UCSC Xena: extend interactive visualization to ultra-large-scale multi-omics data and integrate with analysis resources

Award Number: U24CA258407

ORGANIZATION: NATIONAL CANCER INSTITUTE

OPDIV: NIH

AWARD CLASS: COOPERATIVE AGREEMENT

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

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