Our Mission
The Bioinformatics Collaborative Resource Center (BCRC) aims to support faculty seeking bioinformatics expertise and collaboration beyond what is currently available by existing service cores on campus.
What We Do
This service follows a collaborative agreement model through inclusion on grant submissions, manuscripts, and other scholarly outputs, fostering shared contributions in study design, data analysis, and interpretation, ultimately leading to a successful research endeavor.
Services
- Collaborative Research Support – Matchmaking with bioinformatics experts for research projects.
- Omics Data Analysis – Assistance with genomics, transcriptomics, epigenomics, proteomics, and metabolomics pipelines.
- Computational Biology Expertise – Support for statistical modeling, machine learning, and integrative multi-omics analysis.
- Core Facility Guidance – Direction to the most suitable bioinformatics or genomics core at UAMS or ACRI.
Services & Collaborators:
Table of analyses
| Omics Pipelines | ||
| Genomics, Epigenomics, Transcriptomics & Proteomics | Microbiome & Metagenomics | Metabolomics & Immunology |
| Whole Genome & Exome Sequencing (WGS, WES) | Microbiome Amplicon Sequencing (16S/ITS/18S) | Metabolomic Data Analysis |
| Nanopore Sequencing (DNA/RNA) | Shotgun Metagenomics | Protein Ligand Analysis |
| eccDNA Identification | Microbial Protein Domain Analysis | Immunoglobulin & T-cell Receptor Repertoire |
| DNA Methylation Analysis (RRBS, WGM, Illumina arrays) | ||
| ChIP-seq, ATAC-seq / scATAC-seq, Transposon-seq | ||
| Bulk RNA-seq, Single-Cell RNA-seq (10X, Drop-seq),Small RNA-seq, | ||
| Microarray Gene Expression (Affymetrix) | ||
| Spatial Transcriptomics (10X Visium, general spatial RNA-seq) | ||
| Proteomic & Phospho-Proteomic Data Analysis | ||
| Data Analyses & Other Services | ||
| Computational & Statistical Analysis | Software Development & Data Management | Specialized Analyses |
| Gene Ontology (GO), Gene Set Enrichment Analysis (GSEA) | Custom Bioinformatics Pipelines | Biomarker Analysis, Cancer Genomics Data Interpretation |
| Survival & Longitudinal Analysis, Multivariate Statistics, Mediation Analysis | Tool Development, R & Python Programming | Medical Image Analysis, Digital Pathology |
| Statistical Learning, Machine Learning, LLMs | Creating Bioconductor Packages, Developing RShiny Web Apps | Bioinformatics Training & Support |
| High-Performance Computing | Uploading Data to GenBank, SRA, GEO | Limited Speech Analysis, Isothermal Titration Calorimetry |
| Multi-Omics Data Integration | ||
| Custom Visualizations | ||
Michael Bauer, Ph.D.
Yasir Rahmatallah, Ph.D.
Cody Ashby, Ph.D.
Galina Glazko, Ph.D.
Horacio Gomez-Acevedo, Ph.D.
Donald Johann, Jr., M.Sc., M.D., FACP
Michael S. Robeson II, Ph.D.
Visanu Wanchai
Christopher Wardell, Ph.D.
Policy
- Bioinformatician who provide support on a grant development is expected to be co-investigator or collaborator in the grant and FTE will reflect the efforts in the grant
- Bioinformatician who provides support in manuscript preparation is expected to be a co-author of the manuscript
- PI should seek collaboration early in the development of a project to ensure enough time to properly perform requested assistance. Short notice may still be accommodated but is dependent on bioinformatics collaborators’ availability