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Featured Resources

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Whitepaper: RNA-Seq, Optimized for Everyday Discovery

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Ultrafast Sequencing Services Accelerate Every Stage of Gene and Cell Therapy Research

Webinar: Ultrafast Sequencing Services Accelerate Every Stage of Gene and Cell Therapy Research

How well do you actually know your plasmid

Webinar: How well do you actually know your plasmid? Long-read plasmid sequencing and what it changes for researchers.

3 RNA seq for Everyday Sequencing A New Paradigm for Transcriptomics

Webinar: 3' RNA-Seq for Everyday Sequencing: A New Paradigm for Transcriptomics

Syntax Bio Case Study

Shortening the loop from design to data: Syntax Bio uses sequencing to program better stem-cell therapeutics

Mycoplasma Updated

Technical Note: Mycoplasma detection screen in Plasmidsaurus RNA-Seq data

Technical Notes

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Technical Note: RNA-Seq anchor-based batch correction

Technical Notes

PS 0010 E PCR mediated Recombination

Technical Note: Mitigating PCR-mediated recombination artifacts

Technical Notes

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How to decide between Microbiome Marker Gene Sequencing (16S/18S/ITS) and Shotgun Metagenomics

How to Analyze RNA Sequencing Results

How to Analyze RNA Sequencing Results With Plasmidsaurus

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How Plasmidsaurus RNA-Seq delivers results in 3 days

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Dinos are part of Plasmidsaurus’s DNA

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Whitepaper: RNA-Seq, Optimized for Everyday Discovery

PCR Sequencing Results

How to Interpret Plasmidsaurus Linear / PCR Sequencing Results

How to Interpret Premium PCR Sequencing Results

How to Interpret Plasmidsaurus Premium PCR Sequencing Results

How to Analyze Plasmid Sequencing Results

How to Interpret Plasmidsaurus Sequencing Results for Whole Plasmid Sequencing

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Amplicon Sequencing

Technical Documentation

Breaking down bioinformatics barriers for rapid RNA-Seq analysis

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Skip the Dry Ice: Ambient Shipping for Purified RNA is Here

Addgene Partnership

A New Chapter for Open Science: Plasmidsaurus x Addgene

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Prep with Plasmidsaurus | How to Sequence Microbiomes with extraction

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Not all dinos arrive with names, but these ones did 💚

Statistically significant creativity detected in this dino art.

🦠 What if we could make bacterial biofilms easier to break?

A new study published in PLOS Pathogens by Piazza et al. (2026) uncovered a previously unknown pathway that helps Pseudomonas aeruginosa build stable biofilms and survive antibiotics.

The researchers identified a new biofilm regulatory protein, BatR, and found that it interacts with the stress response enzyme SrkA in a previously unknown signaling network.

Plasmidsaurus Whole Genome Sequencing of P. aeruginosa escape mutants provided clues about how bacteriophage Pf4 contributes to cell death and eDNA release in mature biofilms.

Swipe through to explore what these findings could mean for understanding biofilms and making chronic infections more vulnerable to treatment.

A published analysis of 9,395 public RNA-Seq samples across 884 projects found mycoplasma contamination in 11% of samples.

That’s not a small number, and it’s easy to miss. Mycoplasma can affect cell growth, metabolism, and gene expression without obvious changes in culture appearance.

Starting now, every Plasmidsaurus RNA-Seq result includes mycoplasma screening at no additional cost. Identify potential contamination before it becomes a confounding variable in your analysis.

🍺 Can yeast collected from a 250-year-old tree recreate colonial-style beer?

This question was explored by The Bochman Group, who study DNA helicases and genome integrity using the model organism Saccharomyces cerevisiae. Earlier this year, they put an unusual yeast to the test: S. cerevisiae DoF1, collected from a 250-year-old oak tree.

Along the way, they made a discovery about the yeast’s genome integrity and identity. Plasmidsaurus Whole Genome Sequencing revealed that their yeast isolate, S. cerevisiae DoF1, was a bona fide wild strain—not a lab strain or brewery contaminant.

Swipe through to see what unusual yeasts might teach us about evolution, ecology, and fermentation biology.

“We knew what we had to do. We just couldn’t do it fast enough.” — Nikolas Balanis, CTO of Syntax Bio

For cell engineering teams, rapid iteration depends on fast access to high-quality sequence data. That’s especially true for Syntax Bio, which uses CRISPR to reprogram stem cells with the goal of bringing stem-cell-derived therapies to patients who need them.

In our latest case study, Syntax Bio shares how Plasmidsaurus RNA-Seq and Whole Plasmid Sequencing fit into their workflow. Faster construct verification and transcriptome-wide readouts helped the team move efficiently from experimental design to actionable data, giving them the bandwidth to optimize designs at a scale that was previously impractical.

🔗 Link to case study in Bio

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