Fast Identification and Removal of Sequence Contamination from Genomic and Metagenomic Datasets
San Diego State University · Southern States University · +1 more institution
Abstract
High-throughput sequencing technologies have strongly impacted microbiology, providing a rapid and cost-effective way of generating draft genomes and exploring microbial diversity. However, sequences obtained from impure nucleic acid preparations may contain DNA from sources other than the sample. Those sequence contaminations are a serious concern to the quality of the data used for downstream analysis, causing misassembly of sequence contigs and erroneous conclusions. Therefore, the removal of sequence contaminants is a necessary and required step for all sequencing projects. We developed DeconSeq, a robust framework for the rapid, automated identification and removal of sequence contamination in longer-read…
Citation impact
- FWCI
- 11.04
- Percentile
- 100%
- References
- 57
Authors
2Topics & keywords
- Metagenomics
- Contig
- Identification (biology)
- Computer science
- Contamination
- DNA sequencing
- Computational biology
- Data mining