Name
Abstract | ||
|---|---|---|
Annotation of metagenomes involves comparing the individual sequence reads with a database of known sequences and assigning a unique function to each read. This is a time-consuming task that is computationally intensive (though not computationally complex). Here we present a novel approach to annotate metagenomes using unique k-mer oligopeptide sequences from 7 to 12 amino acids long. We demonstrate that k-mer-based annotations are faster and approach the sensitivity and precision of blastx-based annotations without loosing accuracy. A last-common ancestor approach was also developed to describe the members of the community. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1093/bioinformatics/bts599 | BIOINFORMATICS |
Keywords | DocType | Volume |
algorithms,metagenomics,metagenome | Journal | 28 |
Issue | ISSN | Citations |
24 | 1367-4803 | 7 |
PageRank | References | Authors |
0.53 | 2 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Robert Edwards | 1 | 186 | 18.91 |
| Robert Olson | 2 | 508 | 38.89 |
| Terry Disz | 3 | 407 | 28.23 |
| Gordon D Pusch | 4 | 217 | 32.32 |
| Veronika Vonstein | 5 | 145 | 10.65 |
| Rick L. Stevens | 6 | 1327 | 135.40 |
| Ross A. Overbeek | 7 | 760 | 234.40 |