You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
| Title |
PIntron: a fast method for detecting the gene structure due to alternative splicing via maximal pairings of a pattern and a text
|
|---|---|
| Published in |
BMC Bioinformatics, April 2012
|
| DOI | 10.1186/1471-2105-13-s5-s2 |
| Pubmed ID | |
| Authors |
Yuri Pirola, Raffaella Rizzi, Ernesto Picardi, Graziano Pesole, Gianluca Della Vedova, Paola Bonizzoni |
| Abstract |
A challenging issue in designing computational methods for predicting the gene structure into exons and introns from a cluster of transcript (EST, mRNA) sequences, is guaranteeing accuracy as well as efficiency in time and space, when large clusters of more than 20,000 ESTs and genes longer than 1 Mb are processed. Traditionally, the problem has been faced by combining different tools, not specifically designed for this task. |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 9% |
| Italy | 1 | 4% |
| Unknown | 20 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 17% |
| Researcher | 4 | 17% |
| Professor | 4 | 17% |
| Student > Bachelor | 2 | 9% |
| Student > Postgraduate | 2 | 9% |
| Other | 5 | 22% |
| Unknown | 2 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 35% |
| Biochemistry, Genetics and Molecular Biology | 6 | 26% |
| Computer Science | 4 | 17% |
| Neuroscience | 1 | 4% |
| Engineering | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 3 | 13% |