DocumentCode
2458405
Title
Mining Biological Sequences with Masks
Author
Battaglia, Giovanni ; Grossi, Roberto ; Marangoni, Roberto ; Pisanti, Nadia
Author_Institution
Dipt. di Inf., Univ. di Pisa, Pisa, Italy
fYear
2009
fDate
Aug. 31 2009-Sept. 4 2009
Firstpage
193
Lastpage
197
Abstract
A new notion of motifs, called masks has been introduced, along with the tool MaskMiner to extract them. Masks can be seen as a succinct representation of the repeated patterns occurring in the given input sequence. In this paper we apply this paradigm to mine the sequences of two glutamate receptors of human and mouse genomes, and thus discover some properties concerning frequent masks.These experiments will also highlight some interesting peculiarities of MaskMiner.
Keywords
biology computing; data mining; MaskMiner; biological sequence mining; glutamate receptors; human genomes; mouse genomes; Bioinformatics; Biological system modeling; Databases; Expert systems; Genomics; Humans; Inference algorithms; Mice; Pattern matching; Solids; Motif inference; doubling algorithm; partial order set; pattern with don´t care;
fLanguage
English
Publisher
ieee
Conference_Titel
Database and Expert Systems Application, 2009. DEXA '09. 20th International Workshop on
Conference_Location
Linz
ISSN
1529-4188
Print_ISBN
978-0-7695-3763-4
Type
conf
DOI
10.1109/DEXA.2009.47
Filename
5337180
Link To Document