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X Demographics
Mendeley readers
Chapter title |
A Biological Compression Model and Its Applications
|
---|---|
Chapter number | 67 |
Book title |
Software Tools and Algorithms for Biological Systems
|
Published in |
Advances in experimental medicine and biology, January 2011
|
DOI | 10.1007/978-1-4419-7046-6_67 |
Pubmed ID | |
Book ISBNs |
978-1-4419-7045-9, 978-1-4419-7046-6
|
Authors |
Minh Duc Cao, Trevor I. Dix, Lloyd Allison, Cao MD, Dix TI, Allison L, Cao, Minh Duc, Dix, Trevor I., Allison, Lloyd |
Abstract |
A biological compression model, expert model, is presented which is superior to existing compression algorithms in both compression performance and speed. The model is able to compress whole eukaryotic genomes. Most importantly, the model provides a framework for knowledge discovery from biological data. It can be used for repeat element discovery, sequence alignment and phylogenetic analysis. We demonstrate that the model can handle statistically biased sequences and distantly related sequences where conventional knowledge discovery tools often fail. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 6 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Doctoral Student | 1 | 17% |
Student > Bachelor | 1 | 17% |
Student > Ph. D. Student | 1 | 17% |
Student > Master | 1 | 17% |
Researcher | 1 | 17% |
Other | 0 | 0% |
Unknown | 1 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 2 | 33% |
Computer Science | 2 | 33% |
Biochemistry, Genetics and Molecular Biology | 1 | 17% |
Unknown | 1 | 17% |