Quantifying and Cataloguing Unknown Sequences within Human Microbiomes.

ABSTRACT: Advances in genome sequencing technologies and lower costs have enabled the exploration of a multitude of known and novel environments and microbiomes. This has led to an exponential growth in the raw sequence data that are deposited in online repositories. Metagenomic and metatranscriptomic data sets are typically analysed with regard to a specific biological question. However, it is widely acknowledged that these data sets are comprised of a proportion of sequences that bear no similarity to any currently known biological sequence, and this so-called "dark matter" is often excluded from downstream analyses. In this study, a systematic framework was developed to assemble, identify, and measure the proportion of unknown sequences present in distinct human microbiomes. This framework was ap

SUBMITTER: Modha S 

PROVIDER: S-EPMC9052204 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature