Classification and prediction of toxicity of chemicals using an automated phenotypic profiling of Caenorhabditis elegans.

ABSTRACT:

Background

Traditional toxicological studies have relied heavily on various animal models to understand the effect of various compounds in a biological context. Considering the great cost, complexity and time involved in experiments using higher order organisms. Researchers have been exploring alternative models that avoid these disadvantages. One example of such a model is the nematode Caenorhabditis elegans. There are some advantages of C. elegans, such as small size, short life cycle, well defined genome, ease of maintenance and efficient reproduction.

Methods

As these benefits allow large scale studies to be initiated with relative ease, the problem of how to efficiently capture, organize and analyze the resulting large volumes of data must be addressed. We have develope

SUBMITTER: Gao S 

PROVIDER: S-EPMC5907177 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature