| Title |
An algebraic view of bacterial genome evolution
|
|---|---|
| Published in |
Journal of Mathematical Biology, December 2013
|
| DOI | 10.1007/s00285-013-0747-6 |
| Pubmed ID | |
| Authors |
Andrew R. Francis |
| Abstract |
Rearrangements of bacterial chromosomes can be studied mathematically at several levels, most prominently at a local, or sequence level, as well as at a topological level. The biological changes involved locally are inversions, deletions, and transpositions, while topologically they are knotting and catenation. These two modelling approaches share some surprising algebraic features related to braid groups and Coxeter groups. The structural approach that is at the core of algebra has long found applications in sciences such as physics and analytical chemistry, but only in a small number of ways so far in biology. And yet there are examples where an algebraic viewpoint may capture a deeper structure behind biological phenomena. This article discusses a family of biological problems in bacterial genome evolution for which this may be the case, and raises the prospect that the tools developed by algebraists over the last century might provide insight to this area of evolutionary biology. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 8% |
| United Kingdom | 1 | 4% |
| Germany | 1 | 4% |
| Unknown | 21 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 40% |
| Student > Master | 4 | 16% |
| Professor > Associate Professor | 3 | 12% |
| Researcher | 3 | 12% |
| Student > Bachelor | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 3 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 36% |
| Mathematics | 4 | 16% |
| Biochemistry, Genetics and Molecular Biology | 3 | 12% |
| Computer Science | 3 | 12% |
| Physics and Astronomy | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 4 | 16% |
Attention Score in Context
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All research outputs
#19,017,658
of 23,577,761 outputs
Outputs from Journal of Mathematical Biology
#465
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#234,131
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Outputs of similar age from Journal of Mathematical Biology
#3
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