Title |
A platform independent RNA-Seq protocol for the detection of transcriptome complexity
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Published in |
BMC Genomics, December 2013
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DOI | 10.1186/1471-2164-14-855 |
Pubmed ID | |
Authors |
Claudia Calabrese, Marina Mangiulli, Caterina Manzari, Anna Maria Paluscio, Mariano Francesco Caratozzolo, Flaviana Marzano, Ivana Kurelac, Anna Maria D’Erchia, Domenica D’Elia, Flavio Licciulli, Sabino Liuni, Ernesto Picardi, Marcella Attimonelli, Giuseppe Gasparre, Anna Maria Porcelli, Graziano Pesole, Elisabetta Sbisà, Apollonia Tullo |
Abstract |
Recent studies have demonstrated an unexpected complexity of transcription in eukaryotes. The majority of the genome is transcribed and only a little fraction of these transcripts is annotated as protein coding genes and their splice variants. Indeed, most transcripts are the result of antisense, overlapping and non-coding RNA expression. In this frame, one of the key aims of high throughput transcriptome sequencing is the detection of all RNA species present in the cell and the first crucial step for RNA-seq users is represented by the choice of the strategy for cDNA library construction. The protocols developed so far provide the utilization of the entire library for a single sequencing run with a specific platform. |
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Canada | 1 | 4% |
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Australia | 1 | 4% |
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Sweden | 1 | 4% |
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Other | 1 | 4% |
Unknown | 8 | 32% |
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Scientists | 11 | 44% |
Mendeley readers
Geographical breakdown
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Netherlands | 1 | 2% |
Germany | 1 | 2% |
Sweden | 1 | 2% |
Australia | 1 | 2% |
Unknown | 38 | 86% |
Demographic breakdown
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Student > Ph. D. Student | 6 | 14% |
Professor > Associate Professor | 4 | 9% |
Student > Bachelor | 3 | 7% |
Student > Master | 3 | 7% |
Other | 6 | 14% |
Unknown | 5 | 11% |
Readers by discipline | Count | As % |
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Earth and Planetary Sciences | 1 | 2% |
Other | 3 | 7% |
Unknown | 8 | 18% |