Products & Applications

Sequins Metagenomics
Core Control Set

Industry leading quantification standards for microbial populations.

Sequins Metagenomics
Core Control Set
Sequins Metagenomics
Core Control Set
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Metagenomic Analysis

Qualitative and quantitative Metagenomics allows accurate analysis of microbial populations for pathogen detection, monitoring and screening for antimicrobial resistance genes. Given the varied source of samples and mixtures the need to normalize and quantify microbial populations is paramount.

Normalization within and between samples, users, equipment and locations

The use of Sequins controls for normalization mitigates the heterogeneity of samples to enable unprecedented standardization and interoperability.

Workflow Monitoring and Optimization

Sequins are subjected to the same technical influences and errors as the samples they are combined with, enabling the evaluation of workflow performance.

Absolute
Quantification

Sequins standards are combined at varying concentrations and the resultant ladder enables quantitative analysis in addition to measuring sensitivity, specificity and limit of detection.
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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 ladder; 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 Persephonella  1
Acinetobacter  2 Helicobacter  1 Porphyromonas  1
Anabaena  1 Klebsiella  1 Roseobacter  1
Bacillus  2 Lactobacillus  1 Salmonella  1
Buchnera  1 Legionella  1 Shigella  1
Caldicellulosiruptor 1 Leuconostoc  1 Staphylococcus  1
Candida  1 Listeria  2 Streptococcus  1
Candidatus Caldiarchaeum 1 Magnetococcus  1 Synechocystis  1
Candidatus Carsonella 1 Metallosphaera  1 Thermotogan  1
Candidatus Korarchaeum   1 Methanococcus  1 Thermus  1
Chlamydia  1 Methanopyrus 1 Toxoplasma  1
Chlorobium  1 Mycobacterium  1 Treponema  1
Corynebacterium  1 Neisseria  2 Vibrio  1
Desulfitobacterium  1 Nitrosopumilus  1 Vulcanisaeta  1
Desulfovibrio  1 Nostoc  1 Wolinella  1
Ehrlichia  1 Oenococcus  1 Yersinia  1
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Best In-Class Quantification & LOD Determination

Sequins delivers best-in-class quantification and LOD determination, with a highly reproducible molecular ladder, broad dynamic range, and reliable performance across complex sample types and sequencing platforms. Its strong quantitative accuracy, clear assay sensitivity readout, and negligible sample interference make it a robust in-sample ground truth for metagenomic workflows.

 

This figure provides an overview of the analytical performance of the Sequins Metagenomics Core Control Set, showing how it supports sensitive detection, accurate quantification, and reliable use across different sample backgrounds and sequencing platforms. Collectively, the data demonstrate the value of Sequins as a robust in-sample reference for quantitative metagenomics and overall assay performance assessment.

 

 

Scatter plot of theoretical fold coverage (x) vs. limit of detection (LOD) (y) for Kraken; points show samples under a one-model anonymous approach; axes large and labeled; no regression line. Heatmap of cross-alignment rates between samples/methods, recoloured colormap; large labeled axes and legend.
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Scatter plot of theoretical fold coverage (x) vs. limit of detection (LOD) (y) for GCUL, with recoloured markers and labeled axes. Scatter plot comparing predicted NGUL (y) vs theoretical NGUL (x) for a DNA standard (Sequins-only); points are samples, with labeled axes and legend.
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Sequins Metagenomics Core Control Set performance. (A) Metagenomics Core Control Set replicates in dog faecal matrix background demonstrating an accurate and reproducible ladder in complex samples. (B) Cross-alignment rate of Sequins reads to microbial genomes, demonstrating that Sequins does not interfere with samples – less than 0.01% of reads cross-align to mock community genomes. (C) Sequins ladder on various backgrounds generated using Illumina and Oxford Nanopore Technologies (ONT) sequencing. This demonstrates that Sequins is compatible with short- and long-read sequencing technologies and can be used to determine assay limit of detection (LOD). (D) Predicted input concentration estimates (predicted using Sequins v. expected based on ZymoBIOMICS DNA Standard) demonstrating that the Sequins molecular ladder enables reliable microbial abundance quantification. Internal data.

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Plug & Play Simplicity

Sequins are simply spiked-in to a sample prior to library preparation and together, progressed through a workflow. Sequins controls can then be distinguished from the native sample in the output library by their synthetic sequence enabling normalization, quantification, and comparison between samples, runs, laboratories, chemistries, and sequencers.

01

Spike Sequins into samples

02

Prepare library

03

Sequence

04

Analyze using integrated reference databases or genomes

05

Perform assessments (normalization, quantitation, QC)

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What customers are saying about Sequins™

Sequins was straightforward to implement in the wet lab and, importantly, allowed us to obtain absolute quantification — something we couldn't achieve when only measuring relative abundances. We chose Sequins after seeing a colleague's successful work, and the Metagenomics Core Control Set delivered exactly what we needed.
Alex Song
PhD student, University of Michigan
Sequins gave us the confidence to accurately quantify viruses in wastewater samples by distinguishing true biological signals from sequencing biases. Their ease of use and robust design made them an invaluable tool for improving accuracy and reliability in our metagenomics research.
Kathryn Langenfeld
Graduate Student Researcher & Postdoctoral Scholar, University of Michigan

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