The exhaustive genome comparison effort. A quarter-century later
Foundation for Applied Molecular Evolution, Gainesville, Florida, USA
- Published
- Accepted
- Subject Areas
- Bioinformatics
- Keywords
- bioinformatics, functional genomics
- Copyright
- © 2014 Benner et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ PrePrints) and either DOI or URL of the article must be cited.
- Cite this article
- 2014. The exhaustive genome comparison effort. A quarter-century later. PeerJ PrePrints 2:e424v1 https://doi.org/10.7287/peerj.preprints.424v1
Abstract
A quarter century after the Benner and Gonnet groups began their collaboration in evolutionary bioinformatics, evolution-based functional genomics is a field with considerable scope. Even with the remarkable advances in computing power over this period, the explosion of data derived from genomic and protein sources have required more and more sophisticated approaches be developed and utilized. We describe here new software combined with data organization techniques and illustrate how we are harnessing these to place physiological function of protein sequence data using natural history.
Author Comment
This manuscript is a contribution to the GNOME 2014 symposium