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BMCBI
2006
102views more  BMCBI 2006»
13 years 8 months ago
Protein secondary structure prediction for a single-sequence using hidden semi-Markov models
Background: The accuracy of protein secondary structure prediction has been improving steadily towards the 88% estimated theoretical limit. There are two types of prediction algor...
Zafer Aydin, Yucel Altunbasak, Mark Borodovsky
BMCBI
2006
100views more  BMCBI 2006»
13 years 8 months ago
Design of microarray probes for virus identification and detection of emerging viruses at the genus level
Background: Most virus detection methods are geared towards the detection of specific single viruses or just a few known targets, and lack the capability to uncover the novel viru...
Cheng-Chung Chou, Te-Tsui Lee, Chun-Houh Chen, Hsi...
BMCBI
2006
93views more  BMCBI 2006»
13 years 8 months ago
Evaluation of absolute quantitation by nonlinear regression in probe-based real-time PCR
Background: In real-time PCR data analysis, the cycle threshold (CT) method is currently the gold standard. This method is based on an assumption of equal PCR efficiency in all re...
Rasmus Goll, Trine Olsen, Guanglin Cui, Jon Florho...
BMCBI
2006
124views more  BMCBI 2006»
13 years 8 months ago
ZCURVE_V: a new self-training system for recognizing protein-coding genes in viral and phage genomes
Background: It necessary to use highly accurate and statistics-based systems for viral and phage genome annotations. The GeneMark systems for gene-finding in virus and phage genom...
Feng-Biao Guo, Chun-Ting Zhang
BMCBI
2006
146views more  BMCBI 2006»
13 years 8 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
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