BIOINFOLAB.UNL.EDU

Updated 49 days ago
  • ID: 11322272/142
403 Manter Hall, University of Nebraska, Lincoln, NE 68588-0118
We plan to add SVM-pairwise and other classification as well as transmembrane prediction methods. More genomes will be added. Our ultimate goal is to extend our classification system to many other protein families, and establish a proteome classification system... Although alignment-free methods can be more sensitive to difficult-to-detect remote similarities, they have higher rates of false positives. Alignment-based methods are more specific (conservative) but less sensitive to remote similarities. In order to perform thorough mining, we need to take advantages of both types of methods. In order to achieve this, we have integrated multiple protein classification methods, including both of alignment-based and alignment-free, in our hierarchical classification system. The power of this approach is shown in our recent study for mining 7 transmembrane receptor (7TMR) candidates from the Arabidopsis thaliana genome. As illustrated in the right figure, multiple sets of classifiers are..
Primary location: Lincoln United States
  • 0
  • 0
Interest Score
1
HIT Score
0.00
Domain
bioinfolab.unl.edu

Actual
bioinfolab.unl.edu

IP
129.93.168.199

Status
OK

Category
Company, Other
0 comments Add a comment