Many computational and statistical methods have been developed and applied in bioinformatics. Recently, new approaches based on support vector machines have been developed. Support vector machines provide a way of combining computational methods and statistical methods. After overviewing fundamental computational and statistical methods in bioinformatics, this paper surveys how these methods are used with support vector machines in order to analyze biological sequence data. This paper also overviews a method to handle chemical structures using support vector machines.