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  • TabeaK
    Member
    • Oct 2012
    • 48

    Hello from a noob!

    Hi everyone!

    I am a biochemist/molecular biologist recently thrown in the confusing world of ngs and working on a slightly exotic organism (no mouse, rat or human here...).

    Until last week I had no bloody idea how to work in a Unix terminal/command line! Now, about half the commands I type acutally do something!

    I am still wandering through the dark here, so every command/algorithm that works is a major victory for me - all quite fascinating though!

    Main focus at the moment: alignment & resequencing & getting some decent hardware integrated into a rather unflexible Windows environment....

    Stay tuned for my numerous upcoming noob questions and thanx in advance!

    TabeaK

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.
    ...
    Yesterday, 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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