| Chapter title |
Genome Rearrangement Analysis: Cut and Join Genome Rearrangements and Gene Cluster Preserving Approaches
|
|---|---|
| Chapter number | 9 |
| Book title |
Comparative Genomics
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7463-4_9 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7461-0, 978-1-4939-7463-4
|
| Authors |
Tom Hartmann, Martin Middendorf, Matthias Bernt, Hartmann, Tom, Middendorf, Martin, Bernt, Matthias |
| Abstract |
Genome rearrangements are mutations that change the gene content of a genome or the arrangement of the genes on a genome. Several years of research on genome rearrangements have established different algorithmic approaches for solving some fundamental problems in comparative genomics based on gene order information. This review summarizes the literature on genome rearrangement analysis along two lines of research. The first line considers rearrangement models that are particularly well suited for a theoretical analysis. These models use rearrangement operations that cut chromosomes into fragments and then join the fragments into new chromosomes. The second line works with rearrangement models that reflect several biologically motivated constraints, e.g., the constraint that gene clusters have to be preserved. In this chapter, the border between algorithmically "easy" and "hard" rearrangement problems is sketched and a brief review is given on the available software tools for genome rearrangement analysis. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 20% |
| Student > Master | 5 | 20% |
| Student > Bachelor | 3 | 12% |
| Professor | 1 | 4% |
| Researcher | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 10 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 24% |
| Computer Science | 3 | 12% |
| Biochemistry, Genetics and Molecular Biology | 2 | 8% |
| Engineering | 2 | 8% |
| Unknown | 12 | 48% |