Discover 5 Top BioTech Startups advancing Long-Read Sequencing

Curious about new technological advancements in the BioTech industry? Explore our analysis of 64 global long-read sequencing startups & scaleups and learn how their solutions impact your business!

Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into the BioTech industry. This time, you get to discover 5 hand-picked long-read sequencing solutions.

Global Startup Heat Map highlights 5 Top Long-Read Sequencing Solutions out of 64

The insights of this data-driven analysis are derived from the Big Data & Artificial Intelligence-powered StartUs Insights Discovery Platform, covering 2.093.000+ startups & scaleups globally. The platform gives you an exhaustive overview of emerging technologies & relevant startups within a specific field in just a few clicks.

The Global Startup Heat Map below reveals the distribution of the 64 exemplary startups & scaleups we analyzed for this research. Further, it highlights 5 long-read sequencing startups that we hand-picked based on criteria such as founding year, location, funding raised, and more. You get to explore the solutions of these 5 startups & scaleups in this report. For insights on the other 59 long-read sequencing solutions, get in touch.

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Interested in exploring all 64 long-read sequencing solutions?

 

Genexa delivers Long-Read Sequencing for Genomics

Long-read sequencing offers many benefits over traditional sequencing. For example, there is no need for a polymerase chain reaction (PCR) step when performing long-read sequencing, ensuring zero amplification artifacts in the extracted data. However, a lack of enabling technologies, as well as high costs and time, make sequencing inaccessible. Thus, startups develop nanopore sequencing that overcomes these issues by providing scalable and cost-effective technologies.

Swiss startup Genexa develops long-read sequencing services. These involve analyzing genomes and metagenomes, using single-molecule real-time (SMRT) sequencing and nanopore-based sequencing. Its long-reads do not require a PCR step and allow patients to sequence genomes in a short span of time. It also allows direct ribonucleic acid (RNA) sequencing without a complementary DNA (cDNA) step. The assemblies are much less fragmented compared to traditional short-read methods. The startup offers other services that involve both long and short-read sequencing, such as de novo assembly of metagenomes.

Universal Sequencing Technology offers Whole Genome Sequencing

The falling costs of whole-genome sequencing are driving personalized medicine. Analyzing chromosomal and mitochondrial DNA provides medical professionals with insight into the effectiveness of medicines and treatments at the genomics level. However, using traditional sequencing makes genome sequencing slow and prone to errors. Because of this, startups develop long-read sequencing solutions that enable accurate genomics-based solutions.

US-based startup Universal Sequencing provides long-read sequencing of whole genomes. Transposase Enzyme-linked Long-read Sequencing (TELL-Seq), the startup’s scalable next-generation sequencing (NGS) library technology, generates barcode-linked reads for genome-scale sequencing applications. The whole procedure happens in a PCR tube, eliminating the need for expensive instrumentation and generating libraries within 3 hours.

GrandOmics provides Transcriptome Sequencing

Transcriptome sequencing analyzes RNA in a biological sample to quantify gene expression, enabling biomarker discovery, drug development, and other applications. Additionally, transcriptome sequencing provides additional insight through accurate variable splicing site analysis. Startups develop long-read, single-cell transcriptome sequencing to accelerate drug formulation, personalized treatment, and other applications.

Chinese startup GrandOmics offers single-cell full-length transcriptome sequencing. It reverse-transcribes single cells with different label information into full-length cDNA, performing nanopore PCR-cDNA full-length transcription to construct libraries and initiate sequencing. It combines the advantages of long-read, full-length transcriptome, and single-cell sequencing. This provides cost-effective insights into alternative splicing, gene fusion events, gene structure analysis, gene annotation, and screening at the single-cell level.

Longas Technologies designs Virtual Long-Read Sequencers

Conventional sequencing is accurate and finds usage across applications, such as cancer progression and treatment response. It is also less information and time-intensive because of the length of each read, allowing data to be easily stored and analyzed. However, the absence of insights when assembling short-read sequences to observe structural variants results in an identifiable assembling structure. To solve this challenge, startups develop virtual sequencers, making gene sequencing more accessible.

Australian startup Longas Technologies provides virtual long-read sequencers for genomic sequencing. The startup’s technology, Morphoseq, converts short-read sequencers into virtual long-read sequencers, enabling accurate genome assemblies and resolution of difficult-to-assemble genomic regions. It improves the performance of third-party NGS platforms, especially short-read systems, harnessing long-read capabilities with the cost efficiency, accuracy, and availability of short-read sequencers.

Loop Genomics enables Microbiome Sequencing

Current 16S sequencing kits only target two variable regions, V3 and V4. Additionally, because a majority of the kits use short-read sequencing, there is a high number of false positives in classifications. Thus, the generation of full V1-V9 region data with phasing is not possible. To tackle this challenge, startups develop long-read sequencing kits that analyze the full V1-V9 region data while reducing false positives.

US-based startup Loop Genomics develops long-read sequencing kits. LoopSeq 16S and LoopSeq 18S are microbial metagenomics kits that run both regular and low biomass samples together. Thus, it allows the sequencing of microbial communities in samples obtained from skin, water, air, and hard surfaces. The startup’s technology requires only 2-200 picograms of starting DNA for analysis. Additionally, the single-molecule counting technology eliminates PCR bias and reports molecules based on true abundance.

Discover more BioTech startups

BioTech startups such as the examples highlighted in this report focus on gene sequencing solutions, including whole-genome sequencing, transcriptome sequencing as well as microbiome sequencing. While all of these technologies play a major role in advancing gene editing, they only represent the tip of the iceberg. To explore more gene sequencing technologies, simply get in touch to let us look into your areas of interest. For a more general overview, you can download our free BioTech Innovation Report to save your time and improve strategic decision-making.

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