PT  - JOURNAL ARTICLE
AU  - Héctor Rodríguez-Pérez
AU  - Laura Ciuffreda
AU  - Carlos Flores
TI  - NanoCLUST: a species-level analysis of 16S rRNA nanopore sequencing data
AID  - 10.1101/2020.05.14.087353
DP  - 2020 Jan 01
TA  - bioRxiv
PG  - 2020.05.14.087353
4099  - http://biorxiv.org/content/early/2020/05/16/2020.05.14.087353.short
4100  - http://biorxiv.org/content/early/2020/05/16/2020.05.14.087353.full
AB  - Summary NanoCLUST is an analysis pipeline for classification of amplicon-based full-length 16S rRNA nanopore reads. It is characterized by an unsupervised read clustering step, based on Uniform Manifold Approximation and Projection (UMAP), followed by the construction of a polished read and subsequent Blast classification. Here we demonstrate that NanoCLUST performs better than other state-of-the-art software in the characterization of two commercial mock communities, enabling accurate bacterial identification and abundance profile estimation at species level resolution.Availability and implementation Source code, test data and documentation of NanoCLUST is freely available at https://github.com/genomicsITER/NanoCLUST under MIT License.Contact cflores{at}ull.edu.esCompeting Interest StatementThe authors have declared no competing interest.