title: Computational aspects of systematic biology.
abstract: We review the resources available to systematic biologists who wish to use computers to build classifications. Algorithm development is in an early stage, and only a few examples of integrated applications for systematic biology are available. The availability of data is crucial if systematic biology is to enter the computer age.
authors.affiliation: Department of Microbiology and Molecular Genetics at Michigan State University, East Lansing MI, USA.
authors.forename: Timothy G
authors.initials: TG
authors.lastname: Lilburn
authors.forename: Scott H
authors.initials: SH
authors.lastname: Harrison
authors.forename: James R
authors.initials: JR
authors.lastname: Cole
authors.forename: George M
authors.initials: GM
authors.lastname: Garrity
mesh_terms: D000465:Algorithms; D005075:Biological Evolution; D002874:Chromosome Mapping / Q000379:methods*; D003628:Database Management Systems; D030541:Databases, Genetic; D005828:Genetics, Population; D016247:Information Storage and Retrieval / Q000379:methods; D008957:Models, Genetic; D010802:Phylogeny; D011381:Programming Languages; D049490:Systems Biology / Q000379:methods* / Q000639:trends