We construct machine learned regressors to predict the behaviour of DNA sequencing data from the fluorescent labelled Sanger method. These predictions are used to assess hypothes...
The car sequencing problem involves scheduling cars along an assembly line while satisfying capacity constraints. In this paper, we describe an Ant Colony Optimization (ACO) algor...
For aligning DNA sequences that differ only by sequencing errors, or by equivalent errors from other sources, a greedy algorithm can be much faster than traditional dynamic progra...
Zheng Zhang 0004, Scott Schwartz, Lukas Wagner, We...
The car sequencing problem consists in sequencing a given set of cars to be produced in a single day. We address one of the variants of this problem, in which the objective of mini...
Celso C. Ribeiro, Daniel Aloise, Thiago F. Noronha...
Abstract. In this paper we propose a chaining method that can align a draft genomic sequence against a finished genome. We introduce the use of an overlap tree to enhance the state...
Mukund Sundararajan, Michael Brudno, Kerrin Small,...