Title |
NGS-Trex: Next Generation Sequencing Transcriptome profile explorer
|
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Published in |
BMC Bioinformatics, April 2013
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DOI | 10.1186/1471-2105-14-s7-s10 |
Pubmed ID | |
Authors |
Ilenia Boria, Lara Boatti, Graziano Pesole, Flavio Mignone |
Abstract |
Next-Generation Sequencing (NGS) technology has exceptionally increased the ability to sequence DNA in a massively parallel and cost-effective manner. Nevertheless, NGS data analysis requires bioinformatics skills and computational resources well beyond the possibilities of many "wet biology" laboratories. Moreover, most of projects only require few sequencing cycles and standard tools or workflows to carry out suitable analyses for the identification and annotation of genes, transcripts and splice variants found in the biological samples under investigation. These projects can take benefits from the availability of easy to use systems to automatically analyse sequences and to mine data without the preventive need of strong bioinformatics background and hardware infrastructure. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 50% |
France | 1 | 13% |
China | 1 | 13% |
India | 1 | 13% |
Unknown | 1 | 13% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 50% |
Scientists | 4 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 1% |
Italy | 1 | 1% |
Argentina | 1 | 1% |
Brazil | 1 | 1% |
Unknown | 65 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 22 | 32% |
Student > Ph. D. Student | 15 | 22% |
Student > Bachelor | 7 | 10% |
Student > Master | 7 | 10% |
Professor > Associate Professor | 6 | 9% |
Other | 9 | 13% |
Unknown | 3 | 4% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 36 | 52% |
Biochemistry, Genetics and Molecular Biology | 10 | 14% |
Computer Science | 3 | 4% |
Medicine and Dentistry | 3 | 4% |
Environmental Science | 2 | 3% |
Other | 8 | 12% |
Unknown | 7 | 10% |