Kmers library for identifying endemic diadromous fish in Europe from degraded DNA (e.g., ancient DNA) - Use of this data with the DeFIS pipeline (Detection of Fauna and Flora: Identification of Species)

DOI

This dataset provides a curated k-mer library (k = 21) built from reference genomes of European endemic diadromous fishes, complemented with outgroup genomes (e.g., human and other non-target species) to help detect and interpret potential contamination in ancient or low-quality DNA samples. The library was generated with KMC (stored as .kmc_pre/.kmc_suf files) and is intended for use with the DeFiS pipeline (Detection of Fauna and flora: Identification of Species), which identifies the most likely species by comparing k-mer dictionaries between reference genomes and sequencing samples, using metrics such as k-mer ratios and Jaccard similarity.

These precomputed reference k-mer sets are designed to speed up analyses and reduce computational cost by allowing repeated comparisons of a sample against multiple candidate reference genomes. The associated metadata table documents the taxonomic coverage, genome sources (GenBank/NCBI accessions), and reference links used to build the library. Information on how these data were generated and how to use them is also available here: https://bios4biol.pages-forge.inrae.fr/DeFiS/

Identifier
DOI https://doi.org/10.57745/Z5EDZW
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.57745/Z5EDZW
Provenance
Creator Nikolic, Natacha; Maman, Sarah; Jacques, Patrick
Publisher Recherche Data Gouv
Contributor Nikolic, Natacha; Entrepôt Recherche Data Gouv
Publication Year 2026
Rights etalab 2.0; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/etalab-2.0.html
OpenAccess true
Contact Nikolic, Natacha (INRAE)
Representation
Resource Type Dataset
Format application/octet-stream
Size 5242972; 768; 37793138; 74812823; 58; 8; 170126238; 2747123; 50058; 27618463; 117849008; 84097643; 10447443; 33591808; 107564363; 70692503; 215955583; 34350958; 95540188; 12442503; 27797618; 56264188; 125253503; 14042378; 27947568; 23237248; 41868823; 112488948; 4025878; 50271598; 66157698; 42195883; 41163108; 76259818; 181140553; 48313458; 378422858; 134663068; 81656883; 118; 143; 123; 48993003; 200777988
Version 1.0
Discipline Computer Science; ['Other']; ['Fish']; ['Ancient DNA']; ['Genetic']