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Sequins Metagenomics Core Control Set
Industry leading quantification standards for microbial populations

Most Comprehensive Metagenomics Control Set
The Sequins™ Metagenomics Core Control Set is a comprehensive, easy-to-use, pre-configured control set with built-in redundancy that ensures integrity of results. It contains synthetic sequences that collectively represent 52 microbial species at varying abundances to emulate the complexity found in a natural microbial community. Features include: quantitative ladders; wide representation of domains including bacteria, archaea and eukaryotes; GC% content range (27% to 71%); single tube blend; demonstrated on various samples using Illumina and Oxford Nanopore technologies.
Genus | No. Species | Genus | No. Species | Genus | No. Species |
---|---|---|---|---|---|
Aciduliprofundum | 1 | Fusobacterium | 1 | Porphyromonas | 1 |
Acinetobacter | 2 | Helicobacter | 1 | Roseobacter | 1 |
Anabaena | 1 | Klebsiella | 1 | Salmonella | 1 |
Bacillus | 2 | Lactobacillus | 1 | Shigella | 1 |
Buchnera | 1 | Legionella | 1 | Staphylococcus | 1 |
Caldicellulosiruptor | 1 | Leuconostoc | 1 | Streptococcus | 1 |
Candida | 1 | Listeria | 2 | Synechocystis | 1 |
Candidatus Caldiarchaeum |
1 | Magnetococcus | 1 | Thermotogan | 1 |
Candidatus Carsonella |
1 | Metallosphaera | 1 | Thermus | 1 |
Candidatus Korarchaeum |
1 | Methanopyrus | 1 | Toxoplasma | 1 |
Chlamydia | 1 | Mycobacterium | 1 | Treponema | 1 |
Chlorobium | 1 | Neisseria | 1 | Vibrio | 1 |
Corynebacterium | 1 | Nitrosopumilus | 1 | Vulcanisaeta | 1 |
Desulfitobacterium | 1 | Nostoc | 1 | Wolinella | 1 |
Desulfovibrio | 1 | Oenococcus | 1 | Yersinia | 1 |
Ehrlichia | 1 | Persephonella | 1 |

Best In-Class Normalization & Quantification
Sequins provide superior normalization and quantification performance. In the experiments highlighted below, the relative log expression plot for metagenomics samples from Soil, Rhizosphere and Root in Natural and Regenerated conditions, showed marked improvement when normalized with Sequins (A and B). Following normalization using Sequins, there was a significantly higher corelation of Log-Fold Changes for microbial species with expected change, versus using standard normalization (C).