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Mendeley readers
| Chapter title |
Sequence-Based Synteny Analysis of Multiple Large Genomes
|
|---|---|
| Chapter number | 11 |
| Book title |
Comparative Genomics
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7463-4_11 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7461-0, 978-1-4939-7463-4
|
| Authors |
Daniel Doerr, Bernard M. E. Moret |
| Abstract |
Current methods for synteny analysis provide only limited support to study large genomes at the sequence level. In this chapter, we describe a pipeline based on existing tools that, applied in a suitable fashion, enables synteny analysis of large genomic datasets. We give a hands-on description of each step of the pipeline using four avian genomes for data. We also provide integration scripts that simplify the conversion and setup of data between the different tools in the pipeline. |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 33% |
| Researcher | 2 | 17% |
| Student > Doctoral Student | 2 | 17% |
| Student > Master | 1 | 8% |
| Unknown | 3 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 33% |
| Biochemistry, Genetics and Molecular Biology | 4 | 33% |
| Chemical Engineering | 1 | 8% |
| Computer Science | 1 | 8% |
| Immunology and Microbiology | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 1 | 8% |