Background: Profile hidden Markov model (HMM) techniques are among the most powerful methods for protein homology detection. Yet, the critical features for successful modelling ar...
As a multitude of sequence data are published, discovering polymorphisms bioinformatically becomes a valid option. In silico Single Nucleotide Polymorphism (SNP) detection is base...
E. L. Souche, B. Hellemans, J. K. J. Van Houdt, A....
Over recent years, "Internet-able" applications have been used to support domains where distributed functionality is essential. This flexibility is also pertinent in situ...
Background: The protein structure prediction problem is one of the most challenging problems in biological sciences. Many approaches have been proposed using database information ...
Background: Parallel computing is frequently used to speed up computationally expensive tasks in Bioinformatics. Results: Herein, a parallel version of the multi-alignment program...
Martin Schmollinger, Kay Nieselt, Michael Kaufmann...