In silico approach to designing rational metagenomic libraries for functional studies.

ABSTRACT:

Background

With the development of Next Generation Sequencing technologies, the number of predicted proteins from entire (meta-) genomes has risen exponentially. While for some of these sequences protein functions can be inferred from homology, an experimental characterization is still a requirement for the determination of protein function. However, functional characterization of proteins cannot keep pace with our capabilities to generate more and more sequence data.

Results

Here, we present an approach to reduce the number of proteins from entire (meta-) genomes to a reasonably small number for further experimental characterization without loss of important information. About 6.1 million predicted proteins from the Global Ocean Sampling Expedition Metagenome project were d

SUBMITTER: Kusnezowa A 

PROVIDER: S-EPMC5441078 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature