Output details
11 - Computer Science and Informatics
Kingston University
Article title
A stochastic context free grammar based framework for analysis of protein sequences
Type
D - Journal article
Title of journal
BMC Bioinformatics
Article number
323
Volume number
10
Issue number
-
First page of article
n/a
ISSN of journal
1471-2105
Year of publication
2009
Number of additional authors
1
Additional information
<28> This paper describes the first description of amino acid patterns using an advanced grammar-based framework, i.e. stochastic context free grammar. Since grammar training does not rely on sequence homology and captures nested relationships, generated descriptors can capture patterns that are beyond the capability of HHM profiles that have been the reference in the field for more than 20 years. In addition, descriptors are human-readable and, hence, highlight biologically meaningful features. The citations suggest that this novel concept attracted interest amongst bioinformatics community even though the paper is quite theoretical.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
8
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
