Assessing the performance of different approaches for functional and taxonomic annotation of metagenomes.

ABSTRACT:

Background

Metagenomes can be analysed using different approaches and tools. One of the most important distinctions is the way to perform taxonomic and functional assignment, choosing between the use of assembly algorithms or the direct analysis of raw sequence reads instead by homology searching, k-mer analysys, or detection of marker genes. Many instances of each approach can be found in the literature, but to the best of our knowledge no evaluation of their different performances has been carried on, and we question if their results are comparable.

Results

We have analysed several real and mock metagenomes using different methodologies and tools, and compared the resulting taxonomic and functional profiles. Our results show that database completeness (the representation o

SUBMITTER: Tamames J 

PROVIDER: S-EPMC6902526 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature