Sample Cross-contamination Detection
Sample Cross-Contamination Detection is a metagenomic data quality control method that identifies the presence of foreign genetic material in a sample by distinguishing contaminant sequences from target organism sequences based on taxonomic inconsistency, sequence composition, or statistical deviation from expected microbial community profiles.
36
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3.6K
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238
Authors
109
Institutions
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2017–2026
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ContEst: estimating cross-contamination of human samples in next-generation sequencing data
Kristian Cibulskis, Aaron McKenna, Tim Fennell et al. · Bioinformatics · 2011 · 304 citations · Full text
Rapid Production of Graphite Without Contamination for Biomedical AMS
John S. Vogel · Radiocarbon · 1992 · 241 citations · Full text
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Broad Institute
Cambridge, United States
3 h-index
27 publications
2.9K citations
Harvard University
Cambridge, United States
3 h-index
14 publications
985 citations
Dana-Farber Cancer Institute
Boston, United States
2 h-index
2 publications
237 citations
New York Genome Center
New York, United States
2 h-index
6 publications
591 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
13 publications
1.3K citations
University of California, San Francisco
San Francisco, United States
2 h-index
5 publications
1.1K citations
Massachusetts General Hospital
Boston, United States
2 h-index
7 publications
255 citations

Université de Montpellier
Montpellier, France
2 h-index
5 publications
586 citations
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4 publications · 353 citations
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3 publications · 479 citations
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2 publications · 149 citations
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2 publications · 387 citations
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2 publications · 257 citations
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