Tools and Resources


CCCB Developed Resources


MeV v4.9

MultiExperiment Viewer (MeV) is a Java application designed to allow the analysis of microarray data to identify patterns of gene expression and differentially expressed genes.   A beta version of MeV web application is also available for testing purpose.

The GAME-ON Breast Cancer GWAS Database

The association results are based on a meta-analysis of 12 breast cancer GWAS (Table 1), including a total of 16,003 cases and 41,335 controls. The studies included are ABCFS, BBCS, DFBBCS, MARIE, SASBAC, HEBCS, GC-HBOC, UK2, BPC3, BCFR and SardiNIA. Both estrogen receptor positive (ER+) and estrogen receptor negative (ER-) cases were included in this analysis. Subtype-specific results for ER- and ER+ breast cancer will be posted in the future. All studies were imputed to HapMap 2. Standard fixed-effects meta-analysis was used and the standard errors were adjusted by the inflation factors.

Lung Genomics Research Consortium Database

The Lung Genomics Research Consortium (LGRC) today launched its public awareness website, which highlights the Consortium's recently established research initiative to study lung disease, including chronic obstructive pulmonary disease (COPD) and interstitial lung disease (ILD), at the genetic and genomic levels. COPD is the fourth leading cause of death in Americans, while ILD, which includes pulmonary fibrosis, kills approximately 400,000 Americans each year.

GeneSigDB Software Release 2.0.0 now available

The Gene Signature DataBase is a searchable database of fully traceable, standardized, annotated gene signatures which have been manually curated from publications that are indexed in PubMed.


Commercial Software

Ingenuity Pathway Analysis

CCCB has the license for the highly powerful Ingenuity Pathway Analysis (IPA) for biological network analysis such as canonical pathway enrichment, microRNA Target Filter, Disease Network, Regulatory Effect, and Causal Network Analysis.  CCCB routinely performs all available features as part of the Bioinformatics Consulting process.