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» Nonparametric Background Generation
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101
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BMCBI
2005
158views more  BMCBI 2005»
15 years 11 days ago
Automated generation of heuristics for biological sequence comparison
Background: Exhaustive methods of sequence alignment are accurate but slow, whereas heuristic approaches run quickly, but their complexity makes them more difficult to implement. ...
Guy St. C. Slater, Ewan Birney
133
Voted
BXML
2003
15 years 1 months ago
An Instructional Component for Dynamic Course Generation and Delivery
: E-Learning offers the advantage of interactivity: an E-Learning system can adapt the learning materials to suit the learner’s personality and his goals, and it can react to the...
Carsten Ullrich
BMCBI
2010
113views more  BMCBI 2010»
15 years 18 days ago
Unifying generative and discriminative learning principles
Background: The recognition of functional binding sites in genomic DNA remains one of the fundamental challenges of genome research. During the last decades, a plethora of differe...
Jens Keilwagen, Jan Grau, Stefan Posch, Marc Stric...
BMCBI
2008
136views more  BMCBI 2008»
15 years 18 days ago
LOMA: A fast method to generate efficient tagged-random primers despite amplification bias of random PCR on pathogens
Background: Pathogen detection using DNA microarrays has the potential to become a fast and comprehensive diagnostics tool. However, since pathogen detection chips currently utili...
Wah-Heng Lee, Christopher W. Wong, Wan Yee Leong, ...
119
Voted
BMCBI
2007
179views more  BMCBI 2007»
15 years 18 days ago
rMotifGen: random motif generator for DNA and protein sequences
Background: Detection of short, subtle conserved motif regions within a set of related DNA or amino acid sequences can lead to discoveries about important regulatory domains such ...
Eric C. Rouchka, C. Timothy Hardin