Article added to library!
x
Pubchase is a service of protocols.io - free, open access, crowdsourced protocols repository. Explore protocols.
Sign in
Reset password
or connect with
Facebook
By signing in you are agreeing to our
Terms Of Service and Privacy Policy
Dec 05, 2014
PLoS Computational Biology
Current sequencing methods produce large amounts of data, but genome assemblies based on these data are often woefully incomplete. These incomplete and error-filled assemblies result in many annotation errors, especially in the number of genes present in a genome. In this paper we investigate the magnitude of the problem, both in terms of total gene number and the number of copies of genes in specific families. To do this, we compare multiple draft assemblies against higher-quality versions of the same genomes, using several new assemblies of the chicken genome based on both traditional and next-generation sequencing technologies, as well as published draft assemblies of chimpanzee. We find that upwards of 40% of all gene families are inferred to have the wrong number of genes in draft assemblies, and that these incorrect assemblies both add and subtract genes. Using simulated genome assemblies of Drosophila melanogaster, we find that the major cause of increased gene numbers in draft genomes is the fragmentation of genes onto multiple individual contigs. Finally, we demonstrate the usefulness of RNA-Seq in improving the gene annotation of draft assemblies, largely by connecting genes that have been fragmented in the assembly process.

Downloading PDF to your library...

Uploading PDF...

PDF uploading

Delete tag:

The link you entered does not seem to be valid

Please make sure the link points to nature.com contains a valid shared_access_token