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  • madmolecularman
    Junior Member
    • Jul 2018
    • 1

    Happy Coding!

    Good Morning All,

    This is Jacob Green checking in from the University of Rhode Island. I am a California native and recent BS grad in Molecular Biology with a chemistry minor from California State University Monterey Bay. I got my introduction into bioinformatics through the Logan/Jue lab where we work on applying genomic and transcriptomics to figure out how animals are adapting, dying, or thriving in the face of climate change. Currently, I am on a fellowship in the Puritz lab at URI where we leverage Next-Generation sequencing with novel Bioinformatics techniques to answer questions regarding population connectivity, selection, and seascape genetics. Right now I am working on an Exome sequencing set of data from larval oysters exposed to heat stress. We are using a slew of programs including but not limited to: Trinity, Oases, Transabyss, Itero, BinPacker, Spades, and others to build a robust transcriptome. I am super interested in digging deep into the decision-making process by defining parameters, side-skirting statisical bias in assembly programs, how kmers and coverage change assembly statistics, and what is the best de novo assembler?! I am new to this world of coding and sequencing but quickly have fallen in love over the past 4 years. Hope your day is lovely. I am excited to be apart of this community.

    Best Fishes,

    Jacob Michael Green

Latest Articles

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  • SEQadmin2
    Nine Things a Sample Prep Scientist Thinks About Before Sequencing
    by SEQadmin2


    I’m not a sequencing expert. I’m a purification scientist who uses NGS to evaluate workflows my group develops. With this perspective, we think about the sample first and the NGS workflow second. The sequencer is an exceptionally honest reporter, but it can only report on what you give it, so whether you get clean, interpretable data from an NGS workflow is largely determined before you begin.


    Here are nine questions we think about, in roughly the order they matter, before...
    06-18-2026, 07:11 AM
  • SEQadmin2
    From Collection to Sequencing: Why Sample Preparation and Preservation Define Sequencing Data
    by SEQadmin2


    Data variability is still an issue in sequencing technologies despite the advances in reproducibility and accuracy of these platforms. But the problem does not originate in the sequencing itself, but in the previous steps, before the sample reaches the sequencer.


    The first step is collection, followed by preservation and sample preparation for analysis. Most scientists overlook those steps, but not being careful might just be skewing the experiment’s results.
    ...
    06-02-2026, 10:05 AM
  • SEQadmin2
    Single-Cell Sequencing at an Inflection Point: Early Impacts of New Platforms and Emerging Trends
    by SEQadmin2


    With the launch of new single-cell sequencing platforms in 2026, the field stands at an exciting inflection point. This article surveys the most impactful advances in the field and discusses how they’re reshaping research in cancer, immunology, and beyond.


    Introduction

    Single-cell sequencing technologies have undergone remarkable advances over the past decade, transitioning from low-throughput experimental approaches to highly scalable platforms capable of...
    05-22-2026, 06:42 AM

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