Bioinformatics Facility

The Bioinformatics Shared Resource continuously develops new and efficient approaches to data analysis as a response to emerging research needs. Facility functions include: statistical analyses and computational modeling for all types of high-throughput data; advanced bioinformatics tools for integrative cancer biology; and data management. Routine data analyses include large scale information datasets (omics data) generated by high-throughput technologies, which address the following areas:

• Gene expression (RNA-seq, single cell RNA-see, smRNA-seq, Nanostring)
• Gene regulation (ChIP-seq, Cut & Run, ATAC-seq, epigenetic profiling, Hi-ChIP, HiC)
• Genome and transcriptome sequencing (alternate splicing, RNA editing, gene fusion, SNP and INDEL mutation detection, CNV)
• Biomarkers (discovering markers in mRNA, miRNA and protein expression data)
• Proteomic analyses (mass spectrometry-based spectra, LCMS, DIGE, RPPA, etc.)
• Pathway and network analysis
• Integration of multi-platform data
• Other customized data analysis projects