Chapter title |
Data Mining Techniques for the Life Sciences
|
---|---|
Chapter number | 9 |
Book title |
Data Mining Techniques for the Life Sciences
|
Published in |
Methods in molecular biology, January 2016
|
DOI | 10.1007/978-1-4939-3572-7_9 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3570-3, 978-1-4939-3572-7
|
Authors |
Patthy, László, László Patthy |
Editors |
Oliviero Carugo, Frank Eisenhaber |
Abstract |
Correct prediction of the structure of protein-coding genes of higher eukaryotes is a difficult task therefore public sequence databases incorporating predicted sequences are increasingly contaminated with erroneous sequences. The high rate of misprediction has serious consequences since it significantly affects the conclusions that may be drawn from genome-scale sequence analyses.Here we describe the MisPred and FixPred approaches that may help the identification and correction of erroneous sequences. The rationale of these approaches is that a protein sequence is likely to be erroneous if some of its features conflict with our current knowledge about proteins. |
Twitter Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 8 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 38% |
Other | 1 | 13% |
Student > Bachelor | 1 | 13% |
Student > Doctoral Student | 1 | 13% |
Student > Master | 1 | 13% |
Other | 1 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 4 | 50% |
Medicine and Dentistry | 2 | 25% |
Biochemistry, Genetics and Molecular Biology | 1 | 13% |
Engineering | 1 | 13% |