Abstract
Sequence Read Archive submissions to the National Center for Biotechnology Information, often lack useful metadata, which limits the utility of these submissions.. We describe a scalable k-mer based tool for fast assessment of taxonomic diversity intrinsic to submissions, independent of metadata. We show our MinHash-based k-mer tool is accurate and scalable, offering reliable criteria for efficient selection of data for further analysis by the scientific community, at once validating submissions while also augmenting sample metadata with reliable, searchable, taxonomic terms.
Competing Interest Statement
The authors have declared no competing interest.
Footnotes
kskatz{at}nih.gov, shutovo{at}ncbi.nlm.nih.gov, lapointr{at}ncbi.nlm.nih.gov, kimelman{at}ncbi.nlm.nih.gov, osulliva{at}ncbi.nlm.nih.gov, jamesbr{at}ncbi.nlm.nih.gov
