Title |
Comparison of three next-generation sequencing platforms for metagenomic sequencing and identification of pathogens in blood
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Published in |
BMC Genomics, February 2014
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DOI | 10.1186/1471-2164-15-96 |
Pubmed ID | |
Authors |
Kenneth G Frey, Jesus Enrique Herrera-Galeano, Cassie L Redden, Truong V Luu, Stephanie L Servetas, Alfred J Mateczun, Vishwesh P Mokashi, Kimberly A Bishop-Lilly |
Abstract |
The introduction of benchtop sequencers has made adoption of whole genome sequencing possible for a broader community of researchers than ever before. Concurrently, metagenomic sequencing (MGS) is rapidly emerging as a tool for interrogating complex samples that defy conventional analyses. In addition, next-generation sequencers are increasingly being used in clinical or related settings, for instance to track outbreaks. However, information regarding the analytical sensitivity or limit of detection (LoD) of benchtop sequencers is currently lacking. Furthermore, the specificity of sequence information at or near the LoD is unknown. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 11 | 37% |
France | 4 | 13% |
Japan | 2 | 7% |
Germany | 2 | 7% |
United Kingdom | 1 | 3% |
Norway | 1 | 3% |
India | 1 | 3% |
Unknown | 8 | 27% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 16 | 53% |
Members of the public | 12 | 40% |
Practitioners (doctors, other healthcare professionals) | 2 | 7% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 7 | 2% |
United Kingdom | 6 | 1% |
Brazil | 5 | 1% |
Switzerland | 2 | <1% |
Germany | 2 | <1% |
Italy | 2 | <1% |
Chile | 1 | <1% |
Netherlands | 1 | <1% |
Ireland | 1 | <1% |
Other | 11 | 2% |
Unknown | 404 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 131 | 30% |
Student > Ph. D. Student | 83 | 19% |
Student > Master | 68 | 15% |
Student > Bachelor | 25 | 6% |
Other | 24 | 5% |
Other | 69 | 16% |
Unknown | 42 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 203 | 46% |
Biochemistry, Genetics and Molecular Biology | 86 | 19% |
Immunology and Microbiology | 27 | 6% |
Medicine and Dentistry | 25 | 6% |
Environmental Science | 13 | 3% |
Other | 28 | 6% |
Unknown | 60 | 14% |