NoiseMaker: simulated screens for statistical assessment.

ABSTRACT:

Unlabelled

High-throughput screening (HTS) is a common technique for both drug discovery and basic research, but researchers often struggle with how best to derive hits from HTS data. While a wide range of hit identification techniques exist, little information is available about their sensitivity and specificity, especially in comparison to each other. To address this, we have developed the open-source NoiseMaker software tool for generation of realistically noisy virtual screens. By applying potential hit identification methods to NoiseMaker-simulated data and determining how many of the pre-defined true hits are recovered (as well as how many known non-hits are misidentified as hits), one can draw conclusions about the likely performance of these techniques on real data containi

SUBMITTER: Kwan P 

PROVIDER: S-EPMC2944205 | biostudies-literature | 2010 Oct

REPOSITORIES: biostudies-literature