Abstract. The emerging field of synthetic biology moves beyond conventional genetic manipulation to construct novel life forms which do not originate in nature. We explore the pro...
Bei Wang, Dimitris Papamichail, Steffen Mueller, S...
An efficient algorithm is presented for detecting approximate tandem repeats in genomic sequences. The algorithm is based on a flexible statistical model which allows a wide range...
Ydo Wexler, Zohar Yakhini, Yechezkel Kashi, Dan Ge...
Background: Support Vector Machines (SVMs) ? using a variety of string kernels ? have been successfully applied to biological sequence classification problems. While SVMs achieve ...
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, ...
Uniform sampling from graphical realizations of a given degree sequence is a fundamental component in simulation-based measurements of network observables, with applications rangi...