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ACSC
2002
IEEE
15 years 7 months ago
Using Finite State Automata for Sequence Mining
We show how frequently occurring sequential patterns may be found from large datasets by first inducing a finite state automaton model describing the data, and then querying the m...
Philip Hingston
138
Voted
JCB
2008
82views more  JCB 2008»
15 years 1 months ago
Determining Nucleolar Association from Sequence by Leveraging Protein-Protein Interactions
Controlled intra-nuclear organisation of proteins is critical for sustaining correct function of the cell. Proteins and RNA are transported by passive diffusion and associate with...
Mikael Bodén, Rohan D. Teasdale
BMCBI
2008
102views more  BMCBI 2008»
15 years 2 months ago
Combining sequence-based prediction methods and circular dichroism and infrared spectroscopic data to improve protein secondary
Background: A number of sequence-based methods exist for protein secondary structure prediction. Protein secondary structures can also be determined experimentally from circular d...
Jonathan G. Lees, Robert W. Janes
122
Voted
BIBE
2007
IEEE
129views Bioinformatics» more  BIBE 2007»
15 years 6 months ago
Statistial Analysis of nucleosome occupancy and histone modification data
Abstract-- In eukaryotic cells, genomic DNAs wrap around beadlike molecules, called nucleosomes, so as to pack more compactly in the nucleus of the cell. The nucleosome is made up ...
Guo-Cheng Yuan, Jun S. Liu
ISMB
2000
15 years 3 months ago
Mining for Putative Regulatory Elements in the Yeast Genome Using Gene Expression Data
We have developed a set of methods and tools for automatic discovery of putative regulatory signals in genome sequences. The analysis pipeline consists of gene expression data clu...
Jaak Vilo, Alvis Brazma, Inge Jonassen, Alan J. Ro...