Title |
Reference-free SNP detection: dealing with the data deluge
|
---|---|
Published in |
BMC Genomics, May 2014
|
DOI | 10.1186/1471-2164-15-s4-s10 |
Pubmed ID | |
Authors |
Richard M Leggett, Dan MacLean |
Abstract |
Reference-free SNP detection, that is identifying SNPs between samples directly from comparison of primary sequencing data with other primary sequencing data and not to a pre-assembled reference genome is an emergent and potentially disruptive technology that is beginning to open up new vistas in variant identification that reveals new applications in non-model organisms and metagenomics. The modern, effcient data structures these tools use enables researchers with a reference sequence to sample many more individuals with lower computing storage and processing overhead. In this article we will discuss the technologies and tools implementing reference-free SNP detection and the potential impact on studies of genetic variation in model and non-model organisms, metagenomics and personal genomics and medicine. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 2 | 18% |
Spain | 1 | 9% |
Unknown | 8 | 73% |
Demographic breakdown
Type | Count | As % |
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Scientists | 9 | 82% |
Members of the public | 2 | 18% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 5 | 3% |
Brazil | 4 | 3% |
United Kingdom | 2 | 1% |
Germany | 2 | 1% |
Switzerland | 1 | <1% |
Netherlands | 1 | <1% |
France | 1 | <1% |
Poland | 1 | <1% |
Unknown | 127 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 35 | 24% |
Researcher | 33 | 23% |
Student > Master | 24 | 17% |
Student > Bachelor | 10 | 7% |
Student > Postgraduate | 8 | 6% |
Other | 27 | 19% |
Unknown | 7 | 5% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 79 | 55% |
Biochemistry, Genetics and Molecular Biology | 20 | 14% |
Computer Science | 12 | 8% |
Engineering | 5 | 3% |
Medicine and Dentistry | 4 | 3% |
Other | 10 | 7% |
Unknown | 14 | 10% |