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  • MLaurance
    Registered Vendor
    • May 2012
    • 2

    Hello & Introduction.....

    Hi everyone,

    My name is Megan Laurance. I'm a scientist working at Ingenuity Systems, and am the Product Manager for iReport for RNA-Seq and Microarray - a data analysis and interpretation tool that helps bench scientists understand the functional implications of their RNA-Seq data via pathway and molecular interaction analysis.

    I joined the SEQanswers community to keep in touch with the latest developments in the RNA-Seq field, and to connect with biologists who are applying RNA-Seq in their research. I'll also be using the various Forums to post seminar announcements, and hopefully to recruit some of you for an upcoming beta release of some new isoform-specific features in iReport.

    Cheers,
    Megan

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...
    07-08-2026, 05:17 AM
  • 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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