High-Throughput Identification of Adapters in Single-Read Sequencing Data.

ABSTRACT: Sequencing datasets available in public repositories are already high in number, and their growth is exponential. Raw sequencing data files constitute a substantial portion of these data, and they need to be pre-processed for any downstream analyses. The removal of adapter sequences is the first essential step. Tools available for the automated detection of adapters in single-read sequencing protocol datasets have certain limitations. To explore these datasets, one needs to retrieve the information on adapter sequences from the methods sections of appropriate research articles. This can be time-consuming in metadata analyses. Moreover, not all research articles provide the information on adapter sequences. We have developed adapt_find, a tool that automates the process of adapter sequences

SUBMITTER: Mohideen AMSH 

PROVIDER: S-EPMC7356586 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature