
pmid: 11793222
In this paper we survey a number of functional classification schemes applicable to genomes. We present the concepts of depth, breadth and resolution as descriptors of the schemes' scope and architecture and compare selected classifications according to these criteria. We also generate a 'Combined Scheme' against which we map six classifications which we believe are representative of the range currently available. The mapping allows the generation of 'FuncWheels', which are graphical representations of hierarchical classification schemes. They are used to illustrate similarities and differences in functional space coverage. This survey highlights many issues related to the design and implementation of gene product functional classifications, which are discussed in the light of emerging 'second-generation' schemes.
Internet, Genome, Proteins, Genomics, Sequence Analysis, DNA, Mice, Sequence Analysis, Protein, Databases, Genetic, Computer Graphics, Animals, Genome, Fungal, Genome, Bacterial, Genome, Plant
Internet, Genome, Proteins, Genomics, Sequence Analysis, DNA, Mice, Sequence Analysis, Protein, Databases, Genetic, Computer Graphics, Animals, Genome, Fungal, Genome, Bacterial, Genome, Plant
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 48 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
