Biomedical Informatics

Services

Learn about the services provided by Biomedical Informatics Shared Resource (BISR) to OSUCCC – James cancer researchers.

Services

Computational Biology and Bioinformatics Services and Consultation

  • Consulting for the study design, including the selection of appropriate technologies and experimental parameters
  • Grant proposal and manuscript preparation support
  • Analysis of next generation sequencing data, including RNA-sequencing, ChIP-sequencing, whole exome-sequencing, ATAC-sequencing, whole genome re-sequencing, and long-read sequencing (e.g., Oxford Nanopore)
  • Analysis of single-cell sequencing, spatial transcriptomics, TCR/BCR repertoire profiling, and targeted gene panels
  • Various downstream and systems-level analyses of results from sequencing and microarray data
  • Analysis of nCounter NanoString data
  • Analysis of genomic editing (e.g., shRNA and CRISPR/Cas9 screening) data

Single-cell RNA-seq (scRNA-seq) data analysis services

  • Basic scRNA-seq data analyses, including quality control, alignment, trimming, assembly, differentiation expression, and clustering
  • Advanced scRNA-seq data analyses, including cell trajectory analysis, cell type prediction, and co-regulated gene module identification
  • Interpretation of results
  • Integrative analysis of single-cell multi-omics data

Spatial transcriptomics data analysis services

  • Basic spatial transcriptomics data analyses, including quality control, tissue architecture identification, spatial variable gene identification, and differential expression analysis
  • Advanced spatial transcriptomics data analyses, including deconvolution and cell-cell communication analyses
  • Interpretation of results
  • Integrative analysis of spatial multi-omics data

Immune profiling

  • CyToF data analysis
  • Analysis of immunome flow panels

Metabolomics data analysis

  • LC-MS data preprocessing, including quality control assessment of raw chromatograms, peak calling, retention time alignment, and preliminary identification using MS2 data, if available
  • Interpretation of liquid-chromatography untargeted metabolomics datasets, which include relative abundances of a broad spectrum of polar and non-polar small molecules (< 1500 Daltons)
  • Statistical analysis to identify biologically relevant metabolites
  • Pathway enrichment analysis of relevant metabolites

Proteomics data analysis

  • Protein/peptide identification and quantification from label-free and label-based tandem mass spectrometry data
  • Post-translational modification analysis (PTM), such as phosphorylation
  • Downstream bioinformatics analysis, such as differential expression analysis, pathway analysis, functional enrichment analysis, and network analysis, involving finding pivotal proteins in the networks

Metagenomic and metatranscriptomics services

  • Metagenomic data analysis, including species/strain composition profiling, taxonomic analysis, abundance analysis, phylogenetic analysis, and whole-genome shotgun analysis
  • Metatranscriptomic data analysis, including functional profiling, expression activity analysis,16S ribosomal RNA analysis, and whole-transcriptome shotgun analysis

Public domain and commercial data source mining services

  • Obtaining multiple data sources, including dbGaP, GEO, ENCODE, TCGA, ICGC, GTEx, and ORIEN Avatar
  • Implementing integrative analyses of these datasets in concert with locally generated data

Data management and sharing services

  • Big data transfer
  • Data storage management
  • Data/code submission to repositories
  • Data management and sharing policy development, along with relevant cost estimation

Analysis workflow development and standardization

  • Reviewing best practices
  • Defining standard operating procedures
  • Adopting standard data analysis protocols

Novel bioinformatics tool development

  • Custom software engineering when existing tools do not meet investigators’ needs
  • Development of novel computational methods for genomic data analysis and integration
  • Development of R and Python packages

Cloud computing and web development

  • Development and management of interactive and dynamic web interfaces
  • Development and management of cloud infrastructures

Training and Workshops

BISR faculty and staff organize short 1-2 day workshops and seminars focused on bioinformatics data analysis. The workshops cover various areas of bioinformatics and contain hands-on activities to help CCC researchers understand the process of data analysis and the interpretation of the results.

 

BISR Hourly Rates PerUnitPrice
Junior Staff (Bioinformatics Analyst 1 - 2) $72.00
Mid to Senior Staff (Bioinformatics Analyst 3 - 4) $102.00
Senior Staff (Bioinformatics Analyst 5 / Research Scientist) $116.00
 Faculty $160.00