| Title |
Bioinformatics tools for genome mining of polyketide and non-ribosomal peptides
|
|---|---|
| Published in |
Journal of Industrial Microbiology & Biotechnology, February 2014
|
| DOI | 10.1007/s10295-013-1368-1 |
| Pubmed ID | |
| Authors |
Christopher N Boddy |
| Abstract |
Microbial natural products have played a key role in the development of clinical agents in nearly all therapeutic areas. Recent advances in genome sequencing have revealed that there is an incredible wealth of new polyketide and non-ribosomal peptide natural product diversity to be mined from genetic data. The diversity and complexity of polyketide and non-ribosomal peptide biosynthesis has required the development of unique bioinformatics tools to identify, annotate, and predict the structures of these natural products from their biosynthetic gene clusters. This review highlights and evaluates web-based bioinformatics tools currently available to the natural product community for genome mining to discover new polyketides and non-ribosomal peptides. |
Mendeley readers
The data shown below were compiled from readership statistics for 212 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 2% |
| Canada | 2 | <1% |
| United Kingdom | 1 | <1% |
| Brazil | 1 | <1% |
| Germany | 1 | <1% |
| Denmark | 1 | <1% |
| Belgium | 1 | <1% |
| Japan | 1 | <1% |
| Spain | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 199 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 48 | 23% |
| Researcher | 39 | 18% |
| Student > Master | 30 | 14% |
| Student > Bachelor | 27 | 13% |
| Student > Doctoral Student | 12 | 6% |
| Other | 29 | 14% |
| Unknown | 27 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 95 | 45% |
| Biochemistry, Genetics and Molecular Biology | 46 | 22% |
| Chemistry | 19 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 3% |
| Immunology and Microbiology | 6 | 3% |
| Other | 8 | 4% |
| Unknown | 32 | 15% |