Skip to main content

Computational systems for single-cell and spatial transcriptomics experiments

NIGMS - National Institute of General Medical Sciences

open
OpenLast verified: 2026-07-26

About This Grant

Abstract This R35 Maximizing Investigators’ Research Award (MIRA) proposal aims to develop computational systems to address critical challenges in single-cell and spatial transcriptomics experiments. Single-cell and spatial transcriptomics experiments allow us to measure genome-wide gene expression in tens of thousands of individual cells (e.g. from blood, healthy tissue, tumors, or other diseased tissue) or across thousands of tissue spots. As a result, they have emerged as revolutionary tools that allow us to address scientific and clinical questions that were elusive just a few years ago. Computation has likewise been transformed by developments in artificial intelligence (AI). In spite of incredible advances, our ability to obtain genomic measurements continues to outpace our ability to derive useful information from them. This MIRA proposal addresses some of the most critical challenges that are currently limiting the pace at which the scientific community can turn valuable data from high-throughput genomic experiments into meaningful results. In particular, we plan to develop powerful and efficient computational methods to improve the downstream analysis of data from single-cell and spatial transcriptomics experiments. To reduce barriers for non-experts, the methods we develop will be implemented in accessible, interactive software that exploits the power of AI foundation models. Comprehensive benchmarking frameworks will also be developed so that our models and others can be appropriately evaluated. The proposed methods, software, and benchmarking frameworks are required to improve the use of AI single-cell foundation models in genomics, to maximize the information obtained from powerful single-cell and spatial transcriptomics experiments, and to enable biologists and/or clinicians to perform complex analyses without expertise in programming or data science.

Grant Summary

Computational systems for single-cell and spatial transcriptomics experiments is a NIGMS - National Institute of General Medical Sciences grant providing up to $413K for university, nonprofit, healthcare org. Applications are due 2031-02-28 (open). Check eligibility and apply with FindGrants.

Not quite the right fit?

Search 9,000+ open grants, or get matches ranked for your organization — free.

Focus Areas

health research

Eligibility

universitynonprofithealthcare org

How to Apply

Funding Range

Up to $413K

Deadline

2031-02-28

Complexity
Medium
  1. 1Confirm your organization is eligible for Computational systems for single-cell and spatial transcriptomics experiments from NIGMS - National Institute of General Medical Sciences, checking organization type, location, and any population or project requirements.
  2. 2Gather the required documents and information, including your organization details, project plan, and budget figures.
  3. 3Draft your application narrative and budget addressing the funder's priorities and review criteria. FindGrants can draft each section for you to review and edit.
  4. 4Review every section against the requirements checklist, then export a submission-ready application pack and submit it to NIGMS - National Institute of General Medical Sciences before the deadline.
This record is a past award, contract, or funder profile — useful for research, but not an open grant application. Check the original source for current opportunities from this funder.

Don't want to draft it yourself?

We'll draft the complete application against NIGMS - National Institute of General Medical Sciences's requirements, run a quality review, and email you a submission-ready PDF plus an editable Word doc within 5 business days. Most orders deliver in 24-48 hours. Flat $399, any grant size.

AI Requirement Analysis

Detailed requirements not yet analyzed

Have the NOFO? Paste it below for AI-powered requirement analysis.

0 characters (min 50)

Computational systems for single-cell and spatial transcriptomics experiments: Frequently Asked Questions

Who is eligible for the Computational systems for single-cell and spatial transcriptomics experiments?

Computational systems for single-cell and spatial transcriptomics experiments is offered by NIGMS - National Institute of General Medical Sciences and is generally open to university, nonprofit, healthcare org. It is open to organizations nationwide unless the funder specifies otherwise. Review the specific eligibility terms before applying, since funders set their own requirements around organization type, location, and the population or project being served.

How much funding does the Computational systems for single-cell and spatial transcriptomics experiments provide?

Computational systems for single-cell and spatial transcriptomics experiments provides up to $413K per award from NIGMS - National Institute of General Medical Sciences. Actual award sizes depend on the scope of your project, available program funds, and the number of applicants, so build a budget that reflects realistic, allowable costs rather than the maximum figure.

When is the Computational systems for single-cell and spatial transcriptomics experiments deadline?

Applications for Computational systems for single-cell and spatial transcriptomics experiments are due 2031-02-28 (open). Because deadlines can change, verify the date with the funder, NIGMS - National Institute of General Medical Sciences, and give yourself enough time to prepare a complete, competitive application before the close date.

How do you apply for the Computational systems for single-cell and spatial transcriptomics experiments?

To apply for Computational systems for single-cell and spatial transcriptomics experiments, confirm your eligibility, gather the required documents, and prepare a narrative and budget that address the funder's priorities. FindGrants guides you step by step and can draft each section, then exports a submission-ready application pack for this grant from NIGMS - National Institute of General Medical Sciences.