DNA-Programmed Biomolecular Spatial Pattern Recognition

Syntactic Pattern Recognition Systemfor Dna

We review both theoretical and practical results of a linguistic approach to studying the structure of features of DNA sequences. Using generative grammars, complex assemblages can not only be described and analyzed abstractly, but also concretely, such that features can be searched for by a general-purpose parser. Our parser, called GenLang, uses an extended logic grammar formalism and has fou...

Abnormal Pattern Recognition in Spatial Data

In the recent years, abnormal spatial pattern recognition has received a great deal of attention from both industry and academia, and has become an important branch of data mining. Abnormal spatial patterns, or spatial outliers, are those observations whose characteristics are markedly different from their spatial neighbors. The identification of spatial outliers can be used to reveal hidden bu...

Statistical Procedures for Spatial Point Pattern Recognition

Spatial structures in the form of point patterns arise in many different contexts, and in most of them the key goal concerns the detection and recognition of the underlying spatial pattern. Particularly interesting is the case of pattern analysis with replicated data in two or more experimental groups. This paper compares design-based and model-based approaches to the analysis of this kind of s...

DNA Sequence Pattern Recognition Methods in GRAIL

Translating biomolecular recognition into nanomechanics.

We report the specific transduction, via surface stress changes, of DNA hybridization and receptor-ligand binding into a direct nanomechanical response of microfabricated cantilevers. Cantilevers in an array were functionalized with a selection of biomolecules. The differential deflection of the cantilevers was found to provide a true molecular recognition signal despite large nonspecific respo...