Creating a Honey Bee Gene Set
Author Information
Author(s): Christine G. Elsik, Aaron J. Mackey, Justin T. Reese, Natalia V. Milshina, David S. Roos, George M. Weinstock
Primary Institution: Texas A&M University
Hypothesis
We wished to produce a single reference gene set for honey bee (Apis mellifera).
Conclusion
GLEAN proved to be an effective method to combine gene lists into a single reference set.
Supporting Evidence
- The GLEAN consensus set was superior to the individual gene sets in terms of quality.
- GLEAN provided the greatest number of perfect alignments compared to other gene prediction sets.
- The consensus gene set represented a larger number of genes than the NCBI set.
Takeaway
Scientists made a list of honey bee genes using a smart computer program called GLEAN, which helps combine different gene predictions into one accurate list.
Methodology
GLEAN was used to integrate five gene prediction sets and compare them with manually annotated gene models.
Potential Biases
Potential observer bias was noted during the evaluation of the GLEAN set.
Limitations
The consensus set could not represent all genes in the honey bee genome due to biases in the input gene prediction programs.
Digital Object Identifier (DOI)
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