Defining genes: a computational framework.
The precise elucidation of the gene concept has become the subject of intense discussion in light of results from several, large high-throughput surveys of transcriptomes and proteomes. In previous work, we proposed an approach for constructing gene concepts that combines genomic heritability with elements of function. Here, we introduce a definition of the gene within a computational framework of cellular interactions. The definition seeks to satisfy the practical requirements imposed by annotation, capture logical aspects of regulation, and encompass the evolutionary property of homology.
Stadler
Peter F
PF
Bioinformatics Group, Department of Computer Science, Interdisciplinary Center for Bioinformatics, University of Leipzig, Härtelstrasse 16-18, 04107 Leipzig, Germany. studla@bioinf.uni-leipzig.de
Prohaska
Sonja J
SJ
Forst
Christian V
CV
Krakauer
David C
DC
D019295:Computational Biology / Q000379:methods*; D003201:Computers; D004247:DNA / Q000235:genetics; D020869:Gene Expression Profiling; D005796:Genes; D016678:Genome; D023281:Genomics; D040941:Heredity; D008957:Models, Genetic; D015233:Models, Statistical; D009154:Mutation; D010802:Phylogeny; D020543:Proteome; D012984:Software
D020543:Proteome; D004247:DNA