Title |
PhiSiGns: an online tool to identify signature genes in phages and design PCR primers for examining phage diversity
|
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Published in |
BMC Bioinformatics, March 2012
|
DOI | 10.1186/1471-2105-13-37 |
Pubmed ID | |
Authors |
Bhakti Dwivedi, Robert Schmieder, Dawn B Goldsmith, Robert A Edwards, Mya Breitbart |
Abstract |
Phages (viruses that infect bacteria) have gained significant attention because of their abundance, diversity and important ecological roles. However, the lack of a universal gene shared by all phages presents a challenge for phage identification and characterization, especially in environmental samples where it is difficult to culture phage-host systems. Homologous conserved genes (or "signature genes") present in groups of closely-related phages can be used to explore phage diversity and define evolutionary relationships amongst these phages. Bioinformatic approaches are needed to identify candidate signature genes and design PCR primers to amplify those genes from environmental samples; however, there is currently no existing computational tool that biologists can use for this purpose. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 25% |
United Kingdom | 1 | 25% |
Mexico | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 50% |
Members of the public | 2 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 1% |
Nepal | 1 | <1% |
South Africa | 1 | <1% |
Australia | 1 | <1% |
Mexico | 1 | <1% |
Canada | 1 | <1% |
Unknown | 131 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 28 | 20% |
Researcher | 28 | 20% |
Student > Master | 19 | 14% |
Student > Bachelor | 12 | 9% |
Student > Postgraduate | 10 | 7% |
Other | 26 | 19% |
Unknown | 15 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 57 | 41% |
Biochemistry, Genetics and Molecular Biology | 24 | 17% |
Immunology and Microbiology | 15 | 11% |
Computer Science | 5 | 4% |
Environmental Science | 4 | 3% |
Other | 13 | 9% |
Unknown | 20 | 14% |