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  • seqadmin
    Senior Member
    • Oct 2022
    • 729

    Ben - the new editor for SEQanswers

    Hello everyone,

    I’m Ben, the new editor for SEQanswers. I’m very excited to a part of this community and to continue the great work that was started by Eric C. Olivares (ECO).

    I’m committed to making this a supportive environment where we can learn, share information, problem solve, and collaborate. I look forward to interacting with you all around the community and developing resources to help with your needs.

    Here are a few things about me. I have worked in and out of different molecular biology labs for the last 9 years. In my master’s program I studied protein functions and post-translation modifications. After graduation, I started working in the exciting field of next-generation sequencing and haven’t stopped. I’ve previously worked with the MiSeq, NextSeq, NovaSeq, and the MinION, although I’m interested in all types of sequencers.

    When I’m not reading and writing about sequencing technologies and bioinformatics, I’m traveling with my wife, taking Spanish lessons, learning the ukulele, and spending time with my two cats.

    Take care and happy sequencing!

    Ben

    P.S. If you have any questions or comments, please send me a direct message here.

Latest Articles

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  • SEQadmin2
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    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
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    Cancer Drug Resistance: The Lingering Barrier to Rising Survival
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    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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