Document Type
Article
Publication Date
8-12-2008
Publication Title
BMC Bioinformatics
Volume
9 (Suppl 9): S6
Abstract
Background: In recent years, substantial effort has been applied to de novo regulatory motif discovery. At this time, more than 150 software tools exist to detect regulatory binding sites given a set of genomic sequences. As the number of software packages increases, it becomes more important to identify the tools with the best performance characteristics for specific problem domains. Identifying the correct tool is difficult because of the great variability in motif detection software. Consequently, many labs spend considerable effort testing methods to find one that works well in their problem of interest.
Results: In this work, we propose a method (MTAP) that substantially reduces the effort required to assess de novo regulatory motif discovery software. MTAP differs from previous attempts at regulatory motif assessment in that it automates motif discovery tool pipelines (something that traditionally required many manual steps), automatically constructs orthologous upstream sequences, and provides automated benchmarks for many popular tools. As a proof of concept, we have run benchmarks over human, mouse, fly, yeast, E. coli and B. subtilis.
Conclusion: MTAP presents a new approach to the challenging problem of assessing regulatory motif discovery methods. The most current version of MTAP can be downloaded from http:// biobase.ist.unomaha.edu/
Recommended Citation
Quest, D., Dempsey, K., Shafiullah, M. et al. MTAP: The Motif Tool Assessment Platform. BMC Bioinformatics 9, S6 (2008). https://doi.org/10.1186/1471-2105-9-S9-S6
Comments
© 2008 Quest et al; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
doi: 10.1186/1471-2105-9-S9-S6