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» Computational Challenges of Systems Biology
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SAC
2009
ACM
15 years 6 months ago
GTfold: a scalable multicore code for RNA secondary structure prediction
The prediction of the correct secondary structures of large RNAs is one of the unsolved challenges of computational molecular biology. Among the major obstacles is the fact that a...
Amrita Mathuriya, David A. Bader, Christine E. Hei...
RECOMB
2008
Springer
16 years 5 days ago
A Bayesian Approach to Protein Inference Problem in Shotgun Proteomics
The protein inference problem represents a major challenge in shotgun proteomics. Here we describe a novel Bayesian approach to address this challenge that incorporates the predict...
Yong Fuga Li, Randy J. Arnold, Yixue Li, Predrag R...
IJON
2007
84views more  IJON 2007»
14 years 11 months ago
Modeling self-developing biological neural networks
Recent progress in chips–neuron interface suggests real biological neurons as long-term alternatives to silicon transistors. The first step ning such computing systems is to bu...
Hugues Berry, Olivier Temam
ICDCSW
2003
IEEE
15 years 5 months ago
Toward a Security Architecture for Smart Messages: Challenges, Solutions, and Open Issues
Smart Messages (SMs) are migratory execution units used to describe distributed computations over mobile ad hoc networks of embedded systems. The main benefits provided by SMs ar...
Gang Xu, Cristian Borcea, Liviu Iftode
ICCS
2004
Springer
15 years 5 months ago
Improved Sampling for Biological Molecules Using Shadow Hybrid Monte Carlo
Shadow Hybrid Monte Carlo (SHMC) is a new method for sampling the phase space of large biological molecules. It improves sampling by allowing larger time steps and system sizes in ...
Scott S. Hampton, Jesús A. Izaguirre