The Duke Center for Genomic and Computational Biology (GCB) supports the collaborative efforts of its faculty through microgrant funding. GCB is accepting applications on a rolling basis for new interdisciplinary research projects in the areas of genomics, computational biology, synthetic biology, the microbiome, and related fields. The Center intends to award 10 - 20 microgrants per year with funds up to $5,000 per grant.
These microgrants will allow not only for more collaboration between GCB faculty members and faculty outside of GCB, but will also fund higher risk projects. Preference will be given to those who can show how their project will facilitate genomics research, foster new collaborations, provide pilot data for an upcoming grant application and/or develop a new technology (wet or computational).
Applying for a microgrant
To apply for a microgrant, submit the following:
- 1/2 page (max) description of the project
- Brief budget justification. Budget is limited to $10,000
- Names of GCB and non-GCB faculty involved. Solo applications are allowed if they meet other criteria outlined above.
Send application materials to Ytina Mangum.
2019 Microgrant award winners
- Jen-Tsan Ashley Chi (Molecular Genetics & Microbiology)
Novel methods to profile the dpCoA-capped RNA, a novel form of alternative capped RNAs - Greg Crawford (Pediatrics)
Single cell ATAC-seq data generation - David MacAlpine (Pharmacology & Cancer Biology)
Development of eATAC-seq - Craig Lowe (Molecular Genetics & Microbiology)
Augmenting the Fossil Record of Early Birds - Jenny Tung (Evolutionary Anthropology)
Fieldmethods - Ornit Chiba-Falek (Neurology)
10x Genomic Technology - Raluca Gordan (Biostatistics & Bioinformatics)
High-throughput testing of DNA strand displacement in the presence of DNA-bound proteins - Raluca Gordan (Biostatistics & Bioinformatics)
Testing the competition between transcription factors and DNA repair enzymes for binding to mismatch lesions - Jen-Tsan Ashley Chi (Molecular Genetics & Microbiology)
Stringent response epigenetics - Andrew Allen (Biostatistics & Bioinformatics)
Whole genome sequencing of glycogen storage disease cases that have inconclusive genetic findings, in order to find novel noncoding variants