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  • kgosche@partek.com
    Member
    • Aug 2016
    • 16

    Tissue Transcriptomics Data Analysis in Partek Flow: Data Import, Analysis, and Vis

    Join Us for a Webinar:

    Tissue Transcriptomics Data Analysis in Partek Flow - Data Import, Analysis, and Visualization

    Three Sessions to Choose From - (Same content in all sessions):
    April 1, 2020, 2:15 p.m. SGT | April 2, 2020, 2:15 p.m. BST | April 2, 2020, 2:15 p.m. EDT

    REGISTER

    Abstract:
    Tissue transcriptomics is a family of techniques designed to allow transcriptomic profiling of cells within a tissue. It has gained a lot of attention over the past two years and is paralleling and extending advances made in single cell RNA-Seq technology.

    Join us for a webinar where we will demonstrate the analysis of 10x Visium data in Partek Flow software. You will learn how to leverage its statistical power to answer your biological questions and see exciting new features in the Partek Flow Data Viewer.

    What You Will Learn:
    • Import 10x Genomics spatial transcriptomics data
    • Combine gene expression data with histological information
    • Identify clusters of spots based on gene expression profiles
    • Perform differential gene expression

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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