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ABSTRACT: Motivation
Metagenomes are often characterized by high levels of unknown sequences. Reads derived from known microorganisms can easily be identified and analyzed using fast homology search algorithms and a suitable reference database, but the unknown sequences are often ignored in further analyses, biasing conclusions. Nevertheless, it is possible to use more data in a comparative metagenomic analysis by creating a cross-assembly of all reads, i.e. a single assembly of reads from different samples. Comparative metagenomics studies the interrelationships between metagenomes from different samples. Using an assembly algorithm is a fast and intuitive way to link (partially) homologous reads without requiring a database of reference sequences.Results
Here, we introduce crAss, a
SUBMITTER: Dutilh BE
PROVIDER: S-EPMC3519457 | biostudies-literature | 2012 Dec
REPOSITORIES: biostudies-literature