A Grant Writing Template for Long-Read Low-Pass Sequencing

Every grant reviewer evaluating a genotyping proposal is running the same math: sample size against sequencing depth. Short-read protocols force that tradeoff. Long-read protocols solve it, but justifying the switch on paper takes time most researchers don't have during a submission deadline.

This template, written by our scientists, gives you pre-written language for that justification, built on peer-reviewed data from Lee et al., 2025. Across a 127-sample MAGIC population in peanut, long-read low-pass (LRLP) sequencing covered 55% of the genome against 17% for short-read low-pass at matched depth, and identified 18.7 times more SNPs and 51.6 times more structural variants at 8.53 times lower cost per genomic insight.

Drop these sections directly into your next NSF, USDA, NIH, NASA, or DOE application.

Includes five ready-to-customize modules:

• Significance & Background

• Innovation

• Approach & Methods

• Budget Justification

• Data Management Plan

Bracketed fields mark where to add your species, sample count, and institution-specific details. If you have any questions, please contact us. We’re happy to help.