MIMt: a curated 16S rRNA reference database with less redundancy and higher accuracy at species-level identification
Abstract Motivation Accurate determination and quantification of the taxonomic composition of microbial communities, especially at the species level, is one of the major issues in metagenomics. This is primarily due to the limitations of commonly used 16S rRNA reference databases, which either conta...
Saved in:
| Main Authors: | M. Pilar Cabezas, Nuno A. Fonseca, Antonio Muñoz-Mérida |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2024-11-01
|
| Series: | Environmental Microbiome |
| Online Access: | https://doi.org/10.1186/s40793-024-00634-w |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A curated bacterial and archaeal 16S rRNA Gene Oral Sequences dataset
by: Lara Vázquez-González, et al.
Published: (2025-05-01) -
16S rRNA metabarcoding applied to the microbiome of insect products (novel food): a comparative analysis of three reference databases
by: Gabriele Spatola, et al.
Published: (2025-01-01) -
Evaluation of 16S rRNA Databases for Taxonomic Assignments Using a Mock Community
by: Sang-Cheol Park, et al.
Published: (2018-12-01) -
A comparison of 16S rRNA-gene and 16S rRNA-transcript derived microbial communities in bulk and rhizosphere soils
by: Alessandra Ceretto, et al.
Published: (2025-06-01) -
Automating the Curation of DNA Barcode Databases for Vascular Plants
by: Andreas Kolter, et al.
Published: (2025-05-01)