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» On Sequence Prediction for Arbitrary Measures
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BMCBI
2006
160views more  BMCBI 2006»
15 years 1 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»
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
ACL
1998
15 years 3 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
15 years 4 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»
15 years 2 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 ...