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. 2021 Sep 20;22:270. doi: 10.1186/s13059-021-02490-0

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© The Author(s) 2021

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 3 — STAT two phase query. a In the first qualitative phase the input query (an SRA accession, or fasta file) is sequentially rendered into 32 bp k-mers, and matches to the decimal values found in the sparse database identifying taxa for deeper analysis. b TaxIds identified in a are used to select the densely sampled k-mers derived from those taxa, then the same query is used in a second quantitative pass. c Bordered in red is the immediate STAT output consisting of one line for each spot with hits, each followed by one or more TaxIds matching that spot. Examples of more than one hit for a TaxId are shown in bold. d The first post processing output bordered in purple depicts the result of resolving each spot in c to a single taxon. e The final processing step resolves the run composition from the spots resolved in d, and an example from our public display using that result is shown