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» On Sequence Prediction for Arbitrary Measures
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BMCBI
2006
160views more  BMCBI 2006»
13 years 7 months ago
Gene prediction in eukaryotes with a generalized hidden Markov model that uses hints from external sources
Background: In order to improve gene prediction, extrinsic evidence on the gene structure can be collected from various sources of information such as genome-genome comparisons an...
Mario Stanke, Oliver Schöffmann, Burkhard Mor...
BMCBI
2008
102views more  BMCBI 2008»
13 years 7 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
ACL
1998
13 years 9 months ago
A Stochastic Language Model using Dependency and Its Improvement by Word Clustering
In this paper, we present a stochastic language model for Japanese using dependency. The prediction unit in thismodel isallattributeof "bunsetsu". This isrepresented by ...
Shinsuke Mori, Makoto Nagao
FAST
2010
13 years 10 months ago
Write Endurance in Flash Drives: Measurements and Analysis
We examine the write endurance of USB flash drives using a range of approaches: chip-level measurements, reverse engineering, timing analysis, whole-device endurance testing, and ...
Simona Boboila, Peter Desnoyers
BMCBI
2008
145views more  BMCBI 2008»
13 years 7 months ago
The contrasting properties of conservation and correlated phylogeny in protein functional residue prediction
Background: Amino acids responsible for structure, core function or specificity may be inferred from multiple protein sequence alignments where a limited set of residue types are ...
Jonathan R. Manning, Emily R. Jefferson, Geoffrey ...