Article

On Contamination of Symbolic Datasets

2020-02-13

Abstract excerpt

Data taking values on discrete sample spaces are the embodiment of modern biological research. “Omics” experiments produce millions of symbolic outcomes in the form of reads (i.e., DNA sequences of a few dozens to a few hundred nucleotides). Unfortunately, these intrinsically non-numerical datasets are often highly contaminated, and the possible sources of contamination are usually poorly characterized. This contr...

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Literature Corpus work: 1f16ab33-d77d-57a6-ac4f-ee8e4ac6047b
DOI: 10.1101/2020.02.13.947754

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