Computational analyses of, e.g., genomic, proteomic, or metabolomic data, commonly result in one or more sets of candidate genes, proteins, or enzymes. These sets are often the outcome of clustering algorithms. Subsequently, it has to be tested if, e.g., the candidate gene-products are members of known metabolic processes. With OrfMapper we provide a powerful but easy-to-use, web-based database application, that supports such analyses. All services provided by OrfMapper are freely available at http://www.orfmapper.com
@article{arxiv.0706.3477,
title = {OrfMapper: A Web-Based Application for Visualizing Gene Clusters on Metabolic Pathway Maps},
author = {Robbe Wunschiers and Martin Vellguth},
journal= {arXiv preprint arXiv:0706.3477},
year = {2007}
}