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#computationalbiology — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #computationalbiology, aggregated by home.social.

  1. Researchers have identified specific structural features in the spleen, visible on MRI scans, that are associated with an increased risk of coronary artery disease (CAD).
    #Genetics #ComputationalBiology #ArtificialIntelligence (Machine Learning) #Radiology #sflorg
    sflorg.com/2026/09/med09122601

  2. Researchers have identified specific structural features in the spleen, visible on MRI scans, that are associated with an increased risk of coronary artery disease (CAD).
    #Genetics #ComputationalBiology #ArtificialIntelligence (Machine Learning) #Radiology #sflorg
    sflorg.com/2026/09/med09122601

  3. Researchers have identified specific structural features in the spleen, visible on MRI scans, that are associated with an increased risk of coronary artery disease (CAD).
    #Genetics #ComputationalBiology #ArtificialIntelligence (Machine Learning) #Radiology #sflorg
    sflorg.com/2026/09/med09122601

  4. Researchers have identified specific structural features in the spleen, visible on MRI scans, that are associated with an increased risk of coronary artery disease (CAD).
    #Genetics #ComputationalBiology #ArtificialIntelligence (Machine Learning) #Radiology #sflorg
    sflorg.com/2026/09/med09122601

  5. Researchers have identified specific structural features in the spleen, visible on MRI scans, that are associated with an increased risk of coronary artery disease (CAD).
    #Genetics #ComputationalBiology #ArtificialIntelligence (Machine Learning) #Radiology #sflorg
    sflorg.com/2026/09/med09122601

  6. rarelens: building a rare-disease variant triage platform, and the four things I got wrong

    An end-to-end rare-disease variant triage platform: a Nextflow pipeline, three execution backends behind one API call, Terraform for two cloud tracks, and a phenotype-driven ranking measured against 10,178 published cases. Including the model metric that collapsed to exactly random once I removed the feature doing all the work.

    kemal.yaylali.uk/rarelens-tech

  7. rarelens: building a rare-disease variant triage platform, and the four things I got wrong

    An end-to-end rare-disease variant triage platform: a Nextflow pipeline, three execution backends behind one API call, Terraform for two cloud tracks, and a phenotype-driven ranking measured against 10,178 published cases. Including the model metric that collapsed to exactly random once I removed the feature doing all the work.

    kemal.yaylali.uk/rarelens-tech

  8. rarelens: building a rare-disease variant triage platform, and the four things I got wrong

    An end-to-end rare-disease variant triage platform: a Nextflow pipeline, three execution backends behind one API call, Terraform for two cloud tracks, and a phenotype-driven ranking measured against 10,178 published cases. Including the model metric that collapsed to exactly random once I removed the feature doing all the work.

    kemal.yaylali.uk/rarelens-tech

  9. rarelens: building a rare-disease variant triage platform, and the four things I got wrong

    An end-to-end rare-disease variant triage platform: a Nextflow pipeline, three execution backends behind one API call, Terraform for two cloud tracks, and a phenotype-driven ranking measured against 10,178 published cases. Including the model metric that collapsed to exactly random once I removed the feature doing all the work.

    kemal.yaylali.uk/rarelens-tech

  10. 🔬 What if a tumor sample could serve as its own reference?

    🔗 Reference-Free Microsatellite Instability Detection from Tumor Sequencing Using Intrasample Variability Modeling. Computational and Structural Biotechnology Journal (CSBJ). DOI: doi.org/10.34133/csbj.0219

    📚 CSBJ - A Science Partner Journal: spj.science.org/journal/csbj

    #MicrosatelliteInstability #MSI #CancerGenomics #NextGenerationSequencing #ComputationalBiology #Genomics #PersonalizedMedicine #Oncology #Biomarkers #PrecisionMedicine

  11. Xenobots are microscopic, programmable biological machines constructed entirely from living cells without any genetic modification. Measuring less than a millimeter, they lack traditional mechanical parts and are entirely organic, biodegradable, and derived primarily from embryonic stem cells of the African clawed frog (Xenopus laevis).
    #WhatIs #EvolutionaryBiology #DevelopmentalBiology #SyntheticBiology #ComputationalBiology #SoftRobotics
    sflorg.com/2026/05/wi05172601.

  12. A newly decoded, gene-encoded blueprint functions as a spatial "wiring map" that guides growing nerve fibers (axons) to connect with the precise target regions in the developing brain.
    #Neuroscience #Genetics #ComputationalBiology #DevelopmentalBiology #sflorg
    sflorg.com/2026/05/ns05142601.

  13. 🧬 Can AI truly decode gene expression, or is it being misled by too much data?

    🔗 Artificial Intelligence in Bulk RNA-Seq: Challenges and Potential Solutions. Computational and Structural Biotechnology Journal (CSBJ). DOI: doi.org/10.34133/csbj.0039

    📚 CSBJ - A Science Partner Journal: spj.science.org/journal/csbj

    #ArtificialIntelligence #MachineLearning #Bioinformatics #Genomics #RNAseq #ComputationalBiology #SystemsBiology #AI #PrecisionMedicine #BigData #AIinHealthcare

  14. Next is Qiong Yang of U Michigan
    www-personal.umich.edu/~qiongy

    Hashtagged title: Using #SingleCell #SyntheticBiology to Unravel the Mechanisms of Biological Timing and #PatternFormation

    Looking at network motifs for biological clocks, working in #Xenopus, building a synthetic cell (cool!)

    what makes a tunable biological oscillator?
    biorxiv.org/content/10.1101/20

    can slow down clock (in model system) by knockdown of cyclin B

    #ComputationalBiology
    @CSSingleCells23

  15. #introduction
    Hi, I am Matthew and currently work on #ovarian #cancer with a focus on therapy predictive mutations, genomic scarring biomarkers, and mechanisms of resistance to #PARP inhibitors.
    Currently this is involving lots of #FunctionalGenomics with #MAVE assays and #DMS (#DeepMutationalScanning) to dissect protein complex interactions with inhibitors.
    I mainly do #ComputationalBiology and supervise a team that does the wet work.
    Trying to create a focused work engagement in this account