Bioinformatic identification of genes suppressing genome instability

摘要

The promise of genome-wide datasets is that they can be used to identify biological pathways and their interactions. Confounding the analyses of these genome-wide datasets are noisy and missing data and the problem of integrating diverse data-sets. Here, we developed bioinformatics tools to integrate genetic assay data, genetic interaction data, and drug sensitivity data, and we applied these tools to genes and pathways that suppress genome instability in the yeast Saccharomyces cer-evisiae. Genomic instability is a characteristic of most tumors and may be crucial in the initiation or progression of many cancers (1, 2), and identification of pathways that prevent genome instability in 5. cerevisiae should aid in the study of conserved pathways in human cancers. A quantitative genetic assay