Fast Identification and Removal of Sequence Contamination from Genomic and Metagenomic Datasets
Author Information
Author(s): Robert Schmieder, Robert Edwards
Primary Institution: San Diego State University
Hypothesis
Can we develop a framework to automatically identify and remove sequence contamination from genomic and metagenomic datasets?
Conclusion
The DeconSeq framework effectively identifies and removes sequence contamination, revealing significant contamination in many metagenomic datasets.
Supporting Evidence
- DeconSeq identified possible human DNA contamination in 145 out of 202 metagenomes.
- The framework allows for both standalone and web-based usage.
- It provides graphical visualizations of alignment results and contamination classifications.
Takeaway
Scientists can use DeconSeq to quickly find and get rid of unwanted DNA in their samples, making their research more accurate.
Methodology
DeconSeq was developed to automate the identification and removal of sequence contamination using alignment algorithms on longer-read datasets.
Limitations
The accuracy of DeconSeq can be affected by the presence of repetitive regions in the reference genome and the quality of the input sequences.
Digital Object Identifier (DOI)
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