Title |
All Your Base: a fast and accurate probabilistic approach to base calling
|
---|---|
Published in |
Genome Biology, February 2012
|
DOI | 10.1186/gb-2012-13-2-r13 |
Pubmed ID | |
Authors |
Tim Massingham, Nick Goldman |
Abstract |
The accuracy of base calls produced by Illumina sequencers is adversely affected by several processes, with laser cross-talk and cluster phasing being prominent. We introduce an explicit statistical model of the sequencing process that generalizes current models of phasing and cross-talk and forms the basis of a base calling method which improves on the best existing base callers, especially when comparing the number of error-free reads. The novel algorithms implemented in All Your Base (AYB) are comparable in speed to other competitive base-calling methods, do not require training data and are designed to be robust to gross errors, producing sensible results where other techniques struggle. AYB is available at http://www.ebi.ac.uk/goldman-srv/AYB/. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 40% |
United States | 1 | 20% |
Unknown | 2 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 60% |
Scientists | 2 | 40% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 6 | 7% |
United States | 3 | 3% |
India | 1 | 1% |
Sweden | 1 | 1% |
Poland | 1 | 1% |
Unknown | 80 | 87% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 32 | 35% |
Student > Ph. D. Student | 22 | 24% |
Student > Master | 7 | 8% |
Professor | 6 | 7% |
Student > Bachelor | 5 | 5% |
Other | 15 | 16% |
Unknown | 5 | 5% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 43 | 47% |
Biochemistry, Genetics and Molecular Biology | 15 | 16% |
Computer Science | 10 | 11% |
Mathematics | 5 | 5% |
Engineering | 4 | 4% |
Other | 8 | 9% |
Unknown | 7 | 8% |