It is common for granting agencies to ask for statements of F&E for proposals that will use university services. You can find a general statement of F&E related to the BAC below. If you would like to include a more specific statement in your proposal, please reach out to us, and we will be happy to tailor a statement to your project.
General F&E Statement
The Bioinformatics and Analytics Core serve as a centralized resource for providing expert bioinformatics, analytical, and data science consulting and analysis solutions for the MU System as well as public and private industry partners. We offer expertise in high performance compute systems, software, data management, and analysis, in the primary areas of genomics, statistics, and machine learning research. We understand that access to compute resources and informatics expertise is often the rate-limiting step for many researchers in the type of computationally intense approaches demanded of modern biomedical research because of the cost, time, and complexity of the analyses and tools involved. The BAC works alongside researchers with the intention of accelerating translational research in these areas by providing consultations on experimental design and analysis using established best practice approaches for sequencing-based projects, traditional statistical analyses, machine learning projects, and many other life sciences-based research topics.
Commonly Provided Services
We offer analyses, consultation, and workshops for the following topics, among other services:
- Training and assistance with common scientific programming environments (R, Python, Julia, Nextflow, etc.)
- Parallel and cluster computing assistance
- Scientific application deployment and trouble shooting
- Statistical consulting and analyses
- Custom analysis tool development
- RNA-seq expression analysis, including de novo transcriptome assembly and bulk RNA-seq differential expression
- Single cell RNA-seq workflows and Visium spatial transcriptomic workflows
- Read mapping and variant calling for a variety of resequencing experiments, including RAD-seq, pooled sequencing, and WGS
- Comparative genomics, including whole genome alignment
- Genome assembly and annotation
- Phylogenetic reconstruction and phylogenetic analysis / comparative methods in R
- Methods for metagenomic sequencing and taxonomic classification