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149
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BMCBI
2008
163views more  BMCBI 2008»
15 years 3 months ago
ProfileGrids as a new visual representation of large multiple sequence alignments: a case study of the RecA protein family
Background: Multiple sequence alignments are a fundamental tool for the comparative analysis of proteins and nucleic acids. However, large data sets are no longer manageable for v...
Alberto I. Roca, Albert E. Almada, Aaron C. Abajia...
SSDBM
2002
IEEE
100views Database» more  SSDBM 2002»
15 years 8 months ago
Similarity Searching for Multi-Attribute Sequences
We investigate the problem of searching similar multiattribute time sequences. Such sequences arise naturally in a number of medical, financial, video, weather forecast, and stoc...
Tamer Kahveci, Ambuj K. Singh, Aliekber Gürel
131
Voted
ICPP
1999
IEEE
15 years 7 months ago
Improving Performance of Load-Store Sequences for Transaction Processing Workloads on Multiprocessors
On-line transaction processing exhibits poor memory behavior in high-end multiprocessor servers because of complex sharing patterns and substantial interaction between the databas...
Jim Nilsson, Fredrik Dahlgren
121
Voted
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
15 years 7 months ago
Identification of weak motifs in multiple biological sequences using genetic algorithm
Recognition of motifs in multiple unaligned sequences provides an insight into protein structure and function. The task of discovering these motifs is very challenging because mos...
Topon Kumar Paul, Hitoshi Iba
113
Voted
NPL
2006
85views more  NPL 2006»
15 years 3 months ago
A Neural Model for Context-dependent Sequence Learning
A novel neural network model is described that implements context-dependent learning of complex sequences. The model utilises leaky integrate-and-fire neurons to extract timing inf...
Luc Berthouze, Adriaan G. Tijsseling