Research

Bioinformatics Core

Master
Content

The Bioinformatics Core develops and supports computational and bioinformatics methods and tools to assess, monitor, track, and disseminate all variant and model information to center staff and collaborators.

Variant Quality Assessment Pipeline

The Bioinformatics core supports center activities by providing a bioinformatics environment for the evaluation of:

  • pathogenicity of nominated variations
  • gene/variant-phenotype associations
  • orthologs and conservation of gene/variants across species 
  • human-model multi-omics data 

The core achieves this through the use of a broad array of center and public resources, non-standard repositories, and distributed annotation tools to rigorously assess variant quality and inform model development by Disease Modeling Core scientists and clinicians. Variant information obtained through the resources utilized in our nomination process is used to evaluate the quality of variant submissions. 

In addition, the core works closely with the Clinical Translational Core to utilize that information to inform clinical diagnostics, clinical care, clinical trials, and provide new insight into genotype-phenotype relationships and understanding of human disease.

Content

Center Laboratory Information Management System

The Core Laboratory Information Management System (LIMS) is used by the Resource and Services Core to track mouse and fly model production and phenotyping data, which is linked to variant quality and assessment results. 

The LIMS also contains modules for monitoring the following:

  • allele creation
  • microinjection
  • genotyping
  • husbandry, breeding, and welfare issues 
  • colony management 
  • cryopreservation 
  • phenotyping cohort allocation 
  • scheduling experiments
  • specific CRISPR/SpCas9 guide RNA sequences, genotyping strategies, and assay test results
Heading

Core Members

Content
  • Matthew Roth, Ph.D. (Lead)
  • Aleks Milosavljevic, Ph.D. (Co-Lead)
  • David Murdock, M.D., F.A.C.M.G.
  • Zhandong Liu, Ph.D.
  • Uma Ramamurthy, Ph.D.
  • Ramin Zahedi Darshoori, M.S.