Unknown

Dataset Information

SAG-QC: quality control of single amplified genome information by subtracting non-target sequences based on sequence compositions.


ABSTRACT:

Background

Whole genome amplification techniques have enabled the analysis of unexplored genomic information by sequencing of single-amplified genomes (SAGs). Whole genome amplification of single bacteria is currently challenging because contamination often occurs in experimental processes. Thus, to increase the confidence in the analyses of sequenced SAGs, bioinformatics approaches that identify and exclude non-target sequences from SAGs are required. Since currently reported approaches utilize sequence information in public databases, they have limitations when new strains are the targets of interest. Here, we developed a software SAG-QC that identify and exclude non-target sequences independent of database.

Results

In our method, "no template control" sequences acquired d

SUBMITTER: Maruyama T 

PROVIDER: S-EPMC5336615 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature