Mycoplasma contamination in the 1000 Genomes Project

BioData Mining

William B Langdon¹ 

[1] Department of Computer Science, University College London, Gower Street, London WC1E 6BT, UK

关键词: SOLiD;    454;    Solexa;    High throughput;    Data cleansing;    Next-generation DNA sequencing;    Data mining;    metagenomic;    genetics;    Microbiology;    Molecular biology;   

Others  :  795079
DOI  :  10.1186/1756-0381-7-3

 received in 2013-05-23, accepted in 2014-02-19,  发布年份 2014

【 摘 要 】

Background

In silco Biology is increasingly important and is often based on public data. While the problem of contamination is well recognised in microbiology labs the corresponding problem of database corruption has received less attention.

Results

Mapping 50 billion next generation DNA sequences from The Thousand Genome Project against published genomes reveals many that match one or more Mycoplasma but are not included in the reference human genome GRCh37.p5. Many of these are of low quality but NCBI BLAST searches confirm some high quality, high entropy sequences match Mycoplasma but no human sequences.

Conclusions

It appears at least 7% of 1000G samples are contaminated.

【 授权许可】

   
2014 Langdon; licensee BioMed Central Ltd.

【 图 表 】

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