Bioinformatic Services
The Genomics Core offers data analysis services for both large and small biological data sets. We can provide analysis and presentation/publication support for a wide variety of genomics and statistical applications.
To request bioinformatics support for your project, please follow these steps:
1. Contact the core to schedule an initial consultation
2. Fill out a request form with the details of your project, including sample information.
A core member will arrange a meeting to discuss your project goals and requirements. After the initial consultation, the core will develop a workflow to show you how the core will complete your analysis. Once analysis for your project is complete, the core will deliver all of the output files generated at each step of the pipeline along with any tools and scripts that were used.
Computational Resources
The Genomics Core has two high performance workstations that allow for cluster level performance. These computers are equipped with Intel Xeon E5-2687W v2 processors (8 HT Cores, 3.4GHz), 256 GB 1866MHz DDR3 RAM, a NVIDIA Tesla K20c GPU, and 24 TB of storage space. Data is stored on a 50 TB shared network drive administered jointly by the core and UND IT.
If there is additional software you may need for your project, please contact the core to discuss installation.
To request access to workstations, contact Danielle Perley
Web Resources
UCSC Genome Browser -Genomic database for a large number of genomes.
Ensembl Genome Browser - Genomic database for vertebrate genomes.
Integrative Genome Browser - Visualization tool for genomic datasets.
Bioconductor - Tools for the analysis of High-throughput genomic data using the statistical programming language R.
PantherDB - Protein Analysis Through Evolutionary Relationships. Performs pathway analysis including over-representation analysis and enrichment analysis.
GeneCards - Database of Human Genes. A user-friendly database that provides information about all annotated and predicted human genes.
NCBI RefSeq Functional Elements - Database for non-genic functional elements that have are in literature and have been experimentally validated.