morganlturner
commented
8 hours ago Full non-PI role funding information below, pending Nils' review.
@ngehlenborg please address the following:
U24 ITCR (PI: Clifford Meyer or Shirley Liu)
- Confirm this the correct grant - https://reporter.nih.gov/project-details/9722628
- Provide your role
Cell Annotation Platform Gift Schmidt Futures via Broad (role: Site PI?)
- Has missing information. Please review. Used dates from Nils as PI (5/22-6/24), not from Peter Kharchenko (6/20-4/22)
All others, please review and confirm. All information taken from project urls.
Active
SenNet CODCC (PI: Jonathan Silverstein) (role: Co-Investigator)
nih_5U24CA268108-03: funder: National Institutes of Health - NCI number: 5U24CA268108-03 name: Cellular Senescence Network (SenNet) Consortium Organization and Data Coordinating Center (CODCC) url: https://reporter.nih.gov/project-details/10705319 summary: The Cellular Senescence Network (SenNet) Consortium Organization and Data Coordination Center (CODCC) will engage the rapidly growing community of single-cell genomics mapping consortia including the Human BioMolecular Atlas Program Consortium (HuBMAP), the Human Cell Atlas (HCA) and the Human Tumor Atlas Network (HTAN). In particular, SenNet focuses on discovery, induction, and mapping of specific physiology at the cellular and molecular level, under a variety of normal, experimental and disease conditions. Investigators among the Consortium Organization and Data Coordination Center (CODCC), Tissue Management Centers (TMCs), and Technology Development (TTDs), as well as the broader community of Cellular Senescence (CS) scientists and innovators, will work together to common purpose to achieve a multiyear strategy of human impact. start: September 2021 end: August 2026 role: Co-Investigator status: active start_year: 2021
KPMP KMAP (PI: Matthias Kretzler) (role: Co-Investigator)
nih_5U01DK133090-03:
funder: National Institutes of Health - NIDDK
number: 5U01DK133090-03
name: KPMP Kidney Mapping and Atlas Project (KMAP)
url: https://reporter.nih.gov/project-details/10891596
summary: The overarching objective of the Kidney Mapping Atlas Project (KMAP) is to create and support the central data management, integration and dissemination platform for the Kidney Precision Medicine Project (KPMP). Our focus for KMAP will be centered around the key values established by us in the first funding cycle of KPMP: a collaborative environment committed to promoting participant safety and engagement, scientific rigor, and outreach to the global renal research community anchored in a concept of interdisciplinary team science necessary to drive disruptive advances in kidney precision medicine. For the second funding cycle our assembled team across ten leading US research institutions has expertise in 15 distinct knowledge domains to continue our uncompromising commitment to our patient partners co-leading our efforts to transform kidney disease research.
start: September 2022
end: June 2025
role: Co-Investigator
status: active
start_year: 2022
4DN Center 3D Genome Structure (PI: Job Dekker/Leonid Mirny) (role: Co-Investigator)
nih_5UM1HG011536-05:
funder: National Institutes of Health - NHGRI
number: 5UM1HG011536-05
name: Center for 3D Structure and Physics of the Genome
url: https://reporter.nih.gov/project-details/10866485
summary: The research proposed here will determine how the human genome is folded inside the cell nucleus, and how this organization changes as cells go through important transitions during early differentiation and during aging. The work will produce important reference maps for the organization of the human genome during these critical phases of life, as well as new tools to study and visualize the structure and dynamics of the genome. The results can provide mechanistic insights into how genomes are regulated and will lead to a deeper understanding of how altered chromosome conformation can contribute to a variety of human diseases including premature aging.
start: September 2020
end: June 2025
role: Co-Investigator
status: active
start_year: 2020
Cell Annotation Platform Gift Schmidt Futures via Broad (role: Site PI?)
broad_na: funder: The Broad Institute number: N/A name: Cell Annotation Platform url: N/A summary: The Cell Annotation Platform (CAP) is a centralized, community-driven platform for the creation, exploration, and storage of cell annotations for single-cell RNA-sequencing (scRNA-seq) datasets. CAP enables scientists to upload their work to private collaborative workspaces, refine and visualize their annotations using the molecular data, and publish their findings with a citable DOI. start: May 2020 end: June 2024 role: Site PI status: active start_year: 2020
K99/R00 (PI: Sehi L'Yi) (role: Mentor)
nih_1K99HG013348-01A1: funder: National Institutes of Health - NHGRI number: 1K99HG013348-01A1 name: Increasing Diversity of the Genomics Workforce Through Accessible Data and Visualization url: https://reporter.nih.gov/project-details/10984200 summary: Despite efforts to increase diversity and inclusion, opportunities in data-driven genomics research are still unequally offered to people with visual impairments. I will identify barriers to accessing genomics data and visualization resources through comprehensive evaluations and will implement novel tools by designing accessible representations, interactions, and interfaces that will complement screen reader and magnifier assistive technologies. The developed tools will not only help content creators to efficiently and accurately create accessible visualizations but also enable current and prospective genomics students, researchers, and clinicians with visual impairments to access, interpret, and analyze genomics data. start: September 2024 end: August 2025 role: mentor status: active start_year: 2024
Inactive
U24 ITCR (PI: Clifford Meyer or Shirley Liu)
nih_1U24CA237617-01: funder: National Institutes of Health - NCI
number: 1U24CA237617-01
name: Developing Informatics Technologies to Model Cancer Gene Regulation
url: https://reporter.nih.gov/project-details/9722628
summary: Cancer is essentially a disease of aberrant gene regulation and the powerful new genomic technologies for studying gene regulation have produced large volumes of data that impose difficult computational challenges on experimental cancer biologists. We propose to develop comprehensive open-source informatics technologies to model cancer gene regulation. These technologies will allow cancer biologists to conduct exploratory and integrated analyses, to search and reuse other relevant public data, and to interpret results and generate hypotheses on the mechanism of gene regulation in different cancer systems without programming expertise or informatics resources.
start: March 2019
end: February 2020
role:
status: inactive
start_year: 2019
Need to add:
active
inactive