@article {309623,
	title = {Detecting gene duplications in the human lineage.},
	journal = {Ann Hum Genet},
	volume = {74},
	year = {2010},
	month = {2010 Nov},
	pages = {555-65},
	abstract = {<p>Gene duplications represent an important class of evolutionary events that is likely to have contributed to the unique human phenotype in the short evolutionary time since the human-chimpanzee divergence. With the availability of both human and chimpanzee genome drafts in high coverage re-sequencing assemblies and the high annotation quality of most human genes, it should now be possible to identify all human lineage-specific gene duplication events (human inparalogues) and a few pioneering studies have attempted to do that. However, the different levels of coverage in the human and chimpanzee{\textquoteright}s genomes assemblies, and the differing levels of gene annotation, have led to problematic assumptions and oversimplifications in the algorithms and the datasets used to detect human lineage-specific gene duplications. In this study, we have developed a set of bioinformatic tools to overcome a number of the conceptual problems that are prevalent in previous studies and have collected a reliable and representative set of human inparalogues.</p>
},
	keywords = {Algorithms, Animals, Computational Biology, Evolution, Molecular, Gene Duplication, Genome, Human, Humans, Models, Biological, Molecular Sequence Annotation, Pan troglodytes, Proteome},
	issn = {1469-1809},
	doi = {10.1111/j.1469-1809.2010.00609.x},
	author = {Itan, Yuval and Bryson, Kevin and Thomas, Mark G}
}
