Seeing is
Discovering
- Long-read Sequencing
- Spatial Multiomics
- Single-cell Resolution
See What You’ve Been Missing
Long-Read Sequencing
Large portions of the human genome and other complex organisms are often missed when sequenced using short-read sequencing. High-GC regions, re-arrangements, duplications and inversions are just of the many “dark regions” of the genome that are missed when using short-read technology. Long-read sequencing offers a solution that has led to the first truly complete human genome and many other advances in genome science.
Spatial Multiomics
Just knowing which genes and proteins are expressed in a tissue, or even single cells, doesn’t mean you’re seeing the whole picture. Tissue architecture, cell-cell interactions, cellular microenvironment and the diversity of cellular populations is all visible with spatial transcriptomics and proteomics – from whole transcriptomes, down to single-cell spatial resolution.
Long-Read Sequencing
Large portions of the human genome and other complex organisms are often missed when sequenced using short-read sequencing. High-GC regions, re-arrangements, duplications and inversions are just of the many “dark regions” of the genome that are missed when using short-read technology. Long-read sequencing offers a solution that has led to the first truly complete human genome and many other advances in genome science.
Spatial Multiomics
Just knowing which genes and proteins are expressed in a tissue, or even single cells, doesn’t mean you’re seeing the whole picture. Tissue architecture, cell-cell interactions, cellular microenvironment and the diversity of cellular populations is all visible with spatial transcriptomics and proteomics – from whole transcriptomes, down to single-cell spatial resolution.
See More Sequence
Long-Read Sequencing
Long-read sequencing opens up a whole new world of genomics data:
- True complete genomes with previously un-attainable regions (dark regions)
- Highest resolution and microbiome analysis with whole rRNA/ITS genes or shotgun metagenomics
- Complete iso-form information from bulk or single-cell RNA
- Structural variation, copy number repeats and previously unseen variants
- Native DNA modifications – methylation built-in – for epigenetics and expression analysis
See More Sequence
Long-Read Sequencing
Long-read sequencing opens up a whole new world of genomics data:
True complete genomes with previously un-attainable regions (dark regions)
Highest resolution and microbiome analysis with whole rRNA/ITS genes or shotgun metagenomics
Complete iso-form information from bulk or single-cell RNA
Structural variation, copy number repeats and previously unseen variants
Native DNA modifications – methylation built-in – for epigenetics and expression analysis
See More Sequence
Long-Read Sequencing
Long-read sequencing opens up a whole new world of genomics data:
True complete genomes with previously un-attainable regions (dark regions)
Highest resolution and microbiome analysis with whole rRNA/ITS genes or shotgun metagenomics
Complete iso-form information from bulk or single-cell RNA
Structural variation, copy number repeats and previously unseen variants
Native DNA modifications – methylation built-in – for epigenetics and expression analysis
See More Cells
Spatial Multiomics
Long-read sequencing opens up a whole new world of genomics data:
- True complete genomes with previously un-attainable regions (dark regions)
- Highest resolution metagenomics and microbiome analysis with whole rRNA/ITS genes or shotgun metagenomics
- Complete iso-form information from bulk or single-cell RNA
- Structural variation, copy number repeats and previously unseen variants
- Native DNA modifications – methylation built-in – for epigenetics and expression analysis
Long-read sequencing opens up a whole new world of genomics data:
- True complete genomes with previously un-attainable regions (dark regions)
- Highest resolution metagenomics and microbiome analysis with whole rRNA/ITS genes or shotgun metagenomics
- Complete iso-form information from bulk or single-cell RNA
- Structural variation, copy number repeats and previously unseen variants
- Native DNA modifications – methylation built-in – for epigenetics and expression analysis
See More Cells
Spatial Multiomics
The highest plexity in spatial transcriptomics and proteomics allows for unprecedented views of gene regulation, cell-cell interactions and tissue architecture.
The whole transcriptome – available from standard FFPE slides
Combined RNA and protein analysis
Single-cell resolution and up to 6000 genes for the highest plex spatial transcriptomics on the market
See What We Can Do
Applications of Long-Read Sequencing
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Variant Analysis
Splice Variants
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Dark Regions
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Rare Disease
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Pharmacogenomics
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Microbiome
Profiling
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De Novo Genomes
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Variant Analysis / Rare Disease
- Discover causative variants of rare, undiagnosed diseases
- Find novel variants in disease or population cohorts
- Perform disease diagnosis and genetic stratification in disease research or clinical trials.
- Contribute to translational medicine and discoveries of disease and drug targets, which makes it possible to develop new
treatment strategies.
Methylation / Epigenetics
- Methylation information built-in – no additional sequencing needed
- Simplified haplotype phasing of methylated bases using long reads
- Capability to interrogate imprinting disorders and methylation abnormalities associated with tandem repeats
- Microbial epigenetics – Detect genome-wide m6A and m4C R-M system motifs
Targeted Regions / Whole Gene Panels
- Sequence only the genomic regions you care about — easily and cost-effectively at scale
- Adaptive sampling allows for targeted sequencing without capture – both DNA and RNA adaptive sampling
- Hybrid capture and amplicon workflows are also available to suit your needs
- Pre-designed panels or custom panels available
Complete – Iso-Form RNA Sequencing – bulk and single-cell
- See alternative start and end sites
- Characterize splicing events
- Find fusion transcripts
- Identify allele-specific isoforms
- Discover non-coding RNAs
- Profile expression at isoform resolution
- Predict full-length open read frames
Dark Regions – difficult regions
- Twist Alliance Dark Genes panel for PacBio, a comprehensive 22 Mb panel of 389
medically-relevant dark genes, including CYP2D6, GBA, SMN1/2, and PMS2 - Includes genes missed by short-read NGS that might typically require several
platforms to adequately capture, allowing for assay consolidation and cost-
effectiveness
Structural Variants
- Detect a wide range of variation including single nucleotide variants (SNVs), structural variants (SVs),
insertions and deletions (indels), copy number variations (CNVs), and methylation in a single assay. - Span SVs end-to-end enabling unprecedented resolution of even highly complex variants — in
any genomic context.
Pharmacogenomics
- Comprehensive 49-gene PGx panel for long-read sequencing that includes all 20 current genes with CPIC guidelines, as well as FDA PGx genes, and genes research interest
- Targeted haplotyping in pharmacogenomics using adaptive sampling
Microbiome
- Determine community composition at the species or strain-level with competitively priced full-length
16S sequencing
Metagenomics
- Identify 6-8 full-length genes with efficient, cost-effective metagenomic profiling
- Generate hundreds of high-quality (HQ) metagenome assembled genomes (MAGs), many of which are single
contig, circular MAGs - Leverage epigenomic data to associate contigs and plasmids from closely related strains
Antimicrobial Resistance
- With lengths of more than 10,000 bases per read and the highest accuracy, LRS shotgun whole genome
assemblies do not require the complex software workarounds - Leverage epigenomic data to associate contigs and plasmids from closely related strains
- Obtain more high quality, complete, circular, single contig MAGs with long-read shotgun metagenomics data
Viruses and surveillance
- Deconvolute complex mixtures into quasispecies and unique haplotypes
- Track the evolution and phylogeny of viral populations in a host, within a community, or across geographic regions
- Identify and quantify minor variants linked to immune evasion or drug resistance
- Generate complete de novo assemblies of large viral genomes
De novo genomes – novel microbes
- Generate the highest quality, closed reference genomes
- Identify ever-evolving genes associated with toxicity, virulence, and antimicrobial resistance
- Resolve strains, serotypes, and plasmids to track pathogen outbreaks in humans, plants, and animals, through food systems, hospitals, and communities
- Comprehensively characterize microbes to facilitate scientific breakthroughs
De novo genomes
- Build reference-quality, haplotype-resolved genomes and pangenomes to better understand individuals, populations, and species.
- Impute traits of interest to SNPs, structural variants, and complex genotypes.
- Capture genomic variants on a genome-wide scale for outbreds, inbreds, and populations
Agrigenomics
- Breed better by quickly assembling phased reference-quality genomes for the imputation of the most desirable complex
traits. - Create high-quality reference genomes, validate constructs, confirm edits, and evaluate off-target effects quickly and
reliably - Uncover hard-to-find novel genes responsible for traits like immunity, metabolic detoxification, and pesticide resistance.
Evolutionary Genomics
- Study evolution, obtain insights into developmental biology, and address the challenges of climate
change faced by marine and terrestrial ecosystems with sequencing data of exceptional quality. - Document, catalog, and expand our understanding of the intricate biology of organisms across the full
scale of complexity, from cells to entire ecosystems.
Single-cell RNA Sequencing
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Microbiome & Metogenomics
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Plant & Animal Genomics
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Plant & Animal Genomics
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Microbiome & Metogenomics
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Single-cell RNA Sequencing
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Applications of Spatial Genomics
Applications of Spatial Genomics
Cell Atlas & Characterization
- Spatially resolved architecture of organ tissues at the cellular and molecular level
- Whole transcriptome data sets of organ tissues with spatial context
- Contribute to regional and global consortia on cell organization and function
Biomarker Discovery
- Identify and reliably measure biomarkers playing a critical role at every stage of the drug development process.
- Generate robust exploratory biomarker data from limited and challenging sample types
- Bulk gene expression analysis, whole transcriptome spatial analysis, or single cell and sub-cellular spatial analysis methodologies
Tumor Microenvironment Profiling
- Understand tumor heterogeneity
- Understand impact of the tumor microenvironment on the immune response
- Characterize the microenvironment along the tumor invasive margin
- Identify cellular neighborhoods that reveal tumor heterogeneity
Drug Mechanism of Action & Therapeutic Response
- Measure treatment response in clinical trials
- Discover and validate spatial biomarkers
Reveal functional changes within a tumor at single cell resolution
Molecular Subtyping of Disease and Disease Progression
- Discover novel pathways and molecular disease subtypes using spatial profiling
- Choose which regions to profile and segment each region into different compartments using fluorescent staining patterns as a mask to profile expression in certain tissue types or cell populations
Cell-Cell Interaction – Ligand & Receptor
- Characterize up to 100 oncology-specific ligand receptor pairs (including major drug targets) between interacting cells
- Multi-modal cell segmentation process provides accurate cell boundaries detection
Applications of Spatial Genomics
Cell Atlas & Characterization
- Spatially resolved architecture of organ tissues at the cellular and molecular level
- Whole transcriptome data sets of organ tissues with spatial context
- Contribute to regional and global consortia on cell organization and function
Biomarker Discovery
- Identify and reliably measure biomarkers playing a critical role at every stage of the drug development process.
- Generate robust exploratory biomarker data from limited and challenging sample types
- Bulk gene expression analysis, whole transcriptome spatial analysis, or single cell and sub-cellular spatial analysis methodologies
Tumor Microenvironment Profiling
- Understand tumor heterogeneity
- Understand impact of the tumor microenvironment on the immune response
- Characterize the microenvironment along the tumor invasive margin
- Identify cellular neighborhoods that reveal tumor heterogeneity
Drug Mechanism of Action & Therapeutic Response
- Measure treatment response in clinical trials
- Discover and validate spatial biomarkers
- Reveal functional
changes within a tumor at single cell resolution
Molecular Subtyping of Disease and Disease Progression
- Discover novel pathways and molecular disease subtypes using spatial profiling
- Choose which regions to profile and segment each region into different compartments using fluorescent staining patterns as a mask to profile expression in certain tissue types or cell populations
Cell Atlas & Characterization
- Spatially resolved architecture of organ tissues at the cellular and molecular level
- Whole transcriptome data sets of organ tissues with spatial context
- Contribute to regional and global consortia on cell organization and function
See The Results
Publications and Announcements
October 3, 2023
A*STAR’s Genome Institute of Singapore, NanoString and Next Level Genomics Establish Joint Lab
July 11, 2023
Next Level Genomics Pte Ltd Installs First PacBio Revio Sequencer in Singapore
June 30, 2023
Next Level Genomics Pte Ltd launches dedicated PacBio long-read NGS sequencing services in Singapore
October 3, 2023
A*STAR’s Genome Institute of Singapore, NanoString and Next Level Genomics Establish Joint Lab
July 11, 2023
Next Level Genomics Pte Ltd Installs First PacBio Revio Sequencer in Singapore
June 30, 2023
Next Level Genomics Pte Ltd launches dedicated PacBio long-read NGS sequencing services in Singapore
See How We Work
Your Own Singapore NGS & Spatial Lab At Your Disposal
Embark on a journey through our unique processes. Witness innovation, tailored solutions, and a commitment to excellence. Experience firsthand how we transform challenges into opportunities for groundbreaking outcomes.
Our Lab
Next Level Genomics aims to offer labs personalized NGS facilities, hoping researchers see it as their own, benefiting from NLG’s expertise to expedite research.
Tailored Solutions
Experienced scientists and leaders collaborate closely with labs, understanding unique goals to provide tailored solutions—be it sample handling, sequencing, or data analysis.
Bioinformatics Support
While standard genomics workflows offer predefined bioinformatics pipelines, Next Level Genomics provides flexible, advanced, and customized solutions for innovative labs.