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  • Geneious
    Registered Vendor
    • Jul 2010
    • 22

    Geneious Server 1.5 Now Available

    Geneious Server empowers biologists by connecting them to powerful Linux-only software algorithms and high-performance hardware resources such as clusters. Geneious Server 1.5 includes the ability to connect to clusters using MOAB/Torque in addition to Oracle's SGE and Platform Computing's LSF, adds support for Queue Licenses that enable multiple authenticated users to share access to the server and features TopHat for mapping millions of RNA-Seq reads against a reference genome in minutes. Watch the 'What's new Video', learn more on the features page, or contact our sales team today!
    "We bought Geneious to work with Illumina datasets, and were delighted in its power and intuitive interface. It really takes advantage of multi-core processing, assembling tens of millions of reads to a reference sequence in minutes."
    Dr. Matthew Cabeen, Harvard University
    New features of Geneious Server
    Architectural improvements and new features in this release of Geneious Server include:

    TopHat: The most well-known, peer-reviewed and trusted mapper of RNA-Seq data, TopHat, is now available through Geneious Server.
    PBS/Torque: Want to connect your Geneious Server to a cluster with PBS/Torque? Geneious Server now supports PBS Pro and MOAB on the Torque scheduler in addition to Oracle's SGE and LSF.
    Queue Licenses: Geneious Server now supports Queue Licenses that enable multiple users to share access to the server and only limits the number of jobs that can run on the server at any one time. Is this the right licensing option for you? Enquire now!
    Activate GSALs from Geneious Pro: Geneious Server Access Licenses can now be activated from Geneious Pro alleviating burdensome IT administration of users. Activation uses secure authentication via LDAP to ensure that all sensitive data remains protected.

Latest Articles

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  • SEQadmin2
    Advanced Sequencing Platforms Tackle Neuroscience’s Toughest Genomics Problems
    by SEQadmin2



    Genomics studies in neuroscience face a special challenge due to the brain’s complexity and scarcity of samples. Mapping changes in cell type and state using conventional next-generation sequencing methods remains challenging. Advances in technologies like single-cell sequencing, spatial transcriptomics, and long-read sequencing have opened the door to deeper studies of the brain and diseases like Alzheimer’s, amyotrophic lateral sclerosis (ALS), and schizophrenia.
    ...
    07-09-2026, 11:10 AM
  • SEQadmin2
    Cancer Drug Resistance: The Lingering Barrier to Rising Survival
    by SEQadmin2



    Cancer survival rates have significantly increased in the last few decades in the United States, reaching a combined 70% 5-year survival rate by 2021. Behind this number, there are years of research to find new therapies, drug targets, and early detection methods. But there is one core challenge that keeps slowing down these advances, and it’s about drug resistance.

    There is no single reason why many patients don’t respond to treatment as expected. Cancer is...
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  • GATTACAT
    Reply to Nine Things a Sample Prep Scientist Thinks About Before Sequencing
    by GATTACAT
    Love this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.
    07-01-2026, 11:43 AM

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