"I tried other tools, but I haven't found anything that I like more. It's really been the best product that I've found."
Blaire Bacher, Orion Genomics
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Bioinformatics Software That Turns Data Into Discovery
Whether you're analyzing sequencing data, designing constructs, or studying proteins, DNASTAR brings your workflow together — so you can spend less time managing tools and more time getting answers.
Designed to simplify complex biological analysis
DNASTAR brings genomics, molecular biology, and protein analysis together in the intuitive Lasergene platform so you can get to answers faster.
Integrated Workflows
Analyze genomics, molecular biology, and protein data in one platform
Built for Scientists
Intuitive tools designed for biologists, not programmers
Streamlined Analysis
Process data quickly and move from raw input to results faster
Trusted Worldwide
Used by researchers across academia and industry
How Researchers use Lasergene
Genomics & Variant
Analysis
Assemble genomes, analyze sequencing data, and identify variants with confidence
Learn More →Sequence Design &
Analysis
Design, edit, and analyze sequences for cloning, primer design, and construct development
Learn More →Protein Analysis &
Structure Prediction
Analyze protein sequences and predict structure to better understand function
Learn More →Who uses DNASTAR software?
Researchers across academia, biotech, pharma, and government laboratories us DNASTAR software to simplify analysis, support discovery, and advance life science research worldwide.
1,297
Universities trust DNASTAR
500
Biotech and pharma companies
rely on DNASTAR
104,000
Journal citations of DNASTAR
80,000
DNASTAR users worldwide
"Graphical representations are easy to use and aid in understanding relationships."
Mark Maffitt, Illumina, Inc.
"This is the complete package, from assembly to analysis."
Marjorie Beggs, Arkana Laboratories
Application Guides
Identification and Characterization of Viral Strains
This guide leads you through the process of viral genome sequencing and characterization: from choosing a sequencing strategy for templated or de novo assembly, through downstream analysis. It also shows the results from our survey, including a discussion of the top challenges faced by virologists performing this important work.
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7 Steps for Human Variant Analysis (second edition, 2026)
In this guide, we discuss some of the challenges involved in human variant analysis and explore some of the solutions available for addressing these challenges. You will learn about important considerations to keep in mind throughout the process, whether you are working with a core facility, a bioinformatics group, or doing variant analysis on your own.
Download Guide
Successful De Novo Transcriptome Sequence Assembly Using RNA-Seq Data
De novo transcriptome analysis involves assembling cDNA sequences together—without the aid of a reference sequence—and then analyzing the resulting transcriptome. This technique is frequently used to study non-model organisms but is also valuable for organisms whose genome is known. Whether you are experienced with transcriptome analysis or thinking about trying it for the first time, this guide highlights factors to keep in mind when using this approach.
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Protein Structure Prediction with NovaFold AI and NovaFold AI-Multimer
Of hundreds of single-chain protein structure prediction algorithms that have been objectively tested, the undisputed champion is AlphaFold 2, an artificial-intelligence based algorithm developed by Google's DeepMind. An extension of the algorithm, called AlphaFold-Multimer, was released a year later and is optimized for predicting the structures of protein-protein complexes. This guide describes the steps involved in determining protein structures, the advantages and challenges of using open source AlphaFold 2 and AlphaFold-Multimer, and describes how NovaFold AI and NovaFold AI-Multimer provide an easier way to use these powerful algorithms.
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