Background: Kernel-based learning algorithms are among the most advanced machine learning methods and have been successfully applied to a variety of sequence classification tasks ...
Peter Meinicke, Maike Tech, Burkhard Morgenstern, ...
Background: The explosion in biological information creates the need for databases that are easy to develop, easy to maintain and can be easily manipulated by annotators who are m...
J. Daniel Navarro, Naveen Talreja, Suraj Peri, B. ...
Background: The Distributed Annotation System (DAS) allows merging of DNA sequence annotations from multiple sources and provides a single annotation view. A straightforward way t...
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...
Background: Many proteomics initiatives require a seamless bioinformatics integration of a range of analytical steps between sample collection and systems modeling immediately ass...
Romesh Stanislaus, Liu Hong Jiang, Martha Swartz, ...