AISAIC: a software suite for accurate identification of significant aberrations in cancers.

ABSTRACT:

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Accurate identification of significant aberrations in cancers (AISAIC) is a systematic effort to discover potential cancer-driving genes such as oncogenes and tumor suppressors. Two major confounding factors against this goal are the normal cell contamination and random background aberrations in tumor samples. We describe a Java AISAIC package that provides comprehensive analytic functions and graphic user interface for integrating two statistically principled in silico approaches to address the aforementioned challenges in DNA copy number analyses. In addition, the package provides a command-line interface for users with scripting and programming needs to incorporate or extend AISAIC to their customized analysis pipelines. This open-source multiplatform software offers

SUBMITTER: Zhang B 

PROVIDER: S-EPMC3904524 | biostudies-literature | 2014 Feb

REPOSITORIES: biostudies-literature