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NIH
Forecasted

PAR-26-036

Centers of Excellence in Genomic Science (CEGS)

Summary

AI-generated

Centers of Excellence in Genomic Science (CEGS)

The CEGS program supports interdisciplinary research teams tackling fundamental challenges in genomic science, genomic medicine, and computational genomics through development of transformative methods, tools, and technologies. Rather than incremental advances, CEGS centers are expected to pursue high-risk, high-reward innovations—novel concepts and approaches unlikely to emerge from standard grant mechanisms within the same timeframe. Research may address critical questions within a single genomic discipline or span multiple areas (e.g., linking genome sequencing and bioinformatics to precision medicine applications). The program emphasizes technology development tightly integrated with biological questions, alongside creation of genomic resources and novel computational methods that advance the broader research community.

A 2024 program evaluation confirmed CEGS's track record of funding breakthrough resources and approaches with impact extending beyond genomics. This renewal aims to widen research focus and expand outreach to broaden the pool of researchers able to work in or leverage genomics.

  • Who can apply: Institutions with outstanding scientific and management capacity to lead interdisciplinary, high-risk research teams; specific eligibility details not stated.
  • Funding & project length: Not stated.
  • Award mechanism: P50 (Center grant).
  • Key dates: Not stated.
  • Best fit for: Genomics researchers in computational biology, precision medicine, and bioinformatics seeking to develop transformative tools, methods, or resources with cross-disciplinary impact.

Insights (6)

P50 mechanism demands transformative, high-risk innovation beyond incremental R01 scope

strategic fit

CEGS explicitly targets 'transformative advance not likely developed by standard R01s' and requires 'highly innovative novel concepts, methods, approaches, tools, and technologies.' This is not a mechanism for incremental hypothesis testing or single-lab projects. Competitive applications must articulate a clear gap that *requires* center-scale integration and risk tolerance—e.g., developing a new genomic platform, establishing a foundational resource, or solving a cross-disciplinary problem that no single R01 team could address.

Interdisciplinary team integration is structural requirement, not optional enhancement

collaboration

The NOFO emphasizes 'tightly focused, well-integrated projects' and 'interdisciplinary teams of investigators.' The 2024 evaluation praised the program's focus on 'technology development linked to biological questions,' implying successful centers bridge computational, methodological, and biological expertise. Weak team integration or siloed projects will be at a significant disadvantage; applicants should design governance and shared milestones that demonstrate genuine intellectual interdependence, not just co-location.

Resource and tool dissemination is explicit program goal affecting evaluation

strategic fit

CEGS are expected to 'broaden the pool of researchers able to work in or use genomics' and ensure 'dissemination of CEGS developed methods and tools to the broader research community.' This signals that reviewers will assess not only scientific innovation but also the potential impact and accessibility of outputs. Centers with plans to release open-source software, public databases, or training programs will be more competitive than those focused solely on internal discovery.

Recent program evaluation and renewal suggest heightened scrutiny and evolving priorities

competition

The February 2024 mixed-methods evaluation and explicit mention of 'suggestions for improvements, such as widening the focus and increasing outreach opportunities' indicate NHGRI is actively reshaping the program. This renewal cycle may prioritize applications that address previously underrepresented areas within genomic science or demonstrate novel outreach/training models. Applicants should review the evaluation report to identify emerging priorities and differentiate from prior CEGS cohorts.

Scope must address genomic science, medicine, or computational genomics explicitly

eligibility

The NOFO restricts focus to 'genomic science, genomic medicine, computational genomics, or an issue that cuts across more than one of these areas.' While the research fields (F13, F17, F11, F27, F24) span genetics, bioinformatics, and precision medicine, applications must clearly articulate how their innovation advances one of these three pillars or their intersection. Projects framed primarily as general biology or clinical medicine without explicit genomic methodology or resource development may face scope concerns.

P50 centers require mature, established leadership with risk-taking credibility

career stage

The high-risk, high-reward nature and emphasis on 'outstanding scientific plans and management strategies' suggest NHGRI expects center directors and core leaders with established track records and institutional support. Early-stage investigators may participate as co-investigators but are unlikely to lead a competitive CEGS. This mechanism is better suited to mid-to-senior researchers with prior NIH funding and demonstrated ability to manage complex, interdisciplinary teams.

Key Facts

Deadline

Posted

Tue, September 23, 2025

Expected Awards

2

P50
93.172
Grants.gov

Keywords

genomic medicine
computational genomics
technology development
interdisciplinary research
genomic resources
precision medicine
genomic science
genome sequencing
bioinformatics
novel methods and tools
translational genomics
high-risk high-reward research

Research Areas

NIH Institute
Human Genome ResearchNHGRI
OpenAlex
Life SciencesD1Physical SciencesD3Health SciencesD4
Fields
Agricultural & Biological SciencesF11Biochemistry, Genetics & Molecular BiologyF13Computer ScienceF17EngineeringF22Immunology & MicrobiologyF24Materials ScienceF25MedicineF27NeuroscienceF28Pharmacology, Toxicology & PharmaceuticsF30
Subfields
BiochemistryS1303BiotechnologyS1305Cell BiologyS1307GeneticsS1311Molecular BiologyS1312Structural BiologyS1315Artificial IntelligenceS1702Computational Theory & MathematicsS1703Computer Science ApplicationsS1706Biochemistry (Medical)S2704Genetics (Medical)S2716
Topics
Genomics and Phylogenetic StudiesT10015Protein Structure and DynamicsT10044Computational Drug Discovery MethodsT10211Genomics and Chromatin DynamicsT10222Genetic Associations and EpidemiologyT10261Developmental Biology and Gene RegulationT10268Epigenetics and DNA MethylationT10269Neural Networks and ApplicationsT10320+12 more
MeSH
AnatomyAOrganismsBDiseasesC
Chemicals & DrugsD
Chemical Actions & UsesD27
Analytical/Diagnostic/Therapeutic TechniquesE
TherapeuticsE02Investigative TechniquesE05
Phenomena & ProcessesG
Chemical PhenomenaG02Genetic PhenomenaG05
Disciplines & OccupationsH
Natural Science DisciplinesH01
Anthropology/Education/SociologyI
EducationI02
Information ScienceL
Information ScienceL01
Health CareN
Health Care ServicesN02Health Care EconomicsN03
ANZSRC FoR
Biological Sciences31
Bioinformatics & Computational Biology3102Genetics3105
Biomedical & Clinical Sciences32
Medical Biochemistry & Metabolomics3205Medical Biotechnology3206Neurosciences3209
Chemical Sciences34
Medicinal & Biomolecular Chemistry3404Theoretical & Computational Chemistry3407
Engineering40
Nanotechnology4018
Information & Computing46
Artificial Intelligence4602Data Management & Data Science4605Machine Learning4611Software Engineering4612
Mathematical Sciences49
Applied Mathematics4901Numerical & Computational Mathematics4903

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