- by /u/Select-Wear-7859Started with clean molecular animations and documentary-style footage. Standard stuff. Knew immediately it wasn't right. By video 2 the aesthetic had shifted — glitch effects on damaged mitochondria, organs rendered as industrial machinery, circuit board floors under food shots, full-screen red TOXIC ALDEHYDE title cards. By video 3 the language was locked: — Rusted liver caged in gears pumped with purple fluid — HUD overlays mapping fructose from mouth to liver in real time like a threat assessment — Cyan / purple / red / black. Always. — Body as hardware. Blood as data stream. Food as input. Video 4 […]
- by /u/DartLcsubmitted by /u/DartLc [link] [comments]
- by /u/Greg_T_24hi r/metabolics I'm still a bit of a novice with metabolomics, this sub has been a mine of fantastic information. I'm currently looking at my dataset which has patient plasma run on a hilic plus orbitrap paradigm. I can see from a library developed for this assay (same column and mobile phase conditions) that some metabolites look to have decayed at the source. I can't know for sure, but knock a water molecule off my target mass and there's a likely candidate at the correct rt. I know in-source fragmentation products are a big deal in metabolomics and it got […]
- by /u/jrcanterosubmitted by /u/jrcantero [link] [comments]
- by /u/sage_pen85I’ve been going down the rabbit hole of personal DNA data lately, and I realized something: Most DNA reports aren’t actually wrong — they’re just answering the wrong question. They usually focus on: “What variants (SNPs) do you have?” But that never felt actionable to me. Just a long list of genetic trivia. Biology doesn’t really work like a checklist of SNPs. It works more like a set of systems under pressure. So I started looking into a different approach: Instead of listing variants, you model how those variants interact — kind of like constraints in a system — and […]
- by /u/Tiny-Reception3880submitted by /u/Tiny-Reception3880 [link] [comments]
- by /u/minisculecoconutThe database used is an augmented version of PubChemLite. I would really appreciate any feedback, thanks! submitted by /u/minisculecoconut [link] [comments]
- by /u/Intelligent_Bench734submitted by /u/Intelligent_Bench734 [link] [comments]
- by /u/emowerewolf2004Problem with the article Hello, everybody. I'm getting my Master's Degree in Biomedicine, and i'm trying to do phylogenetic analysis of Rhodiola rosea to prove the hypothesis that my region's phenotype is best producer of salidroside. I'm planning to use available data from NCBI and other open sources. For phylogenetic analysis I'm considering choosing matK, MYB genes; I tested MEGA for basic phylogenetic analysis using those genes from different Rhodiola rosea species and also form other Rhodiolas. I need to hear some criticism from people who worked with plant's bioinformatics, phylogenetics. Any advice would be much appreciated! Thanks! submitted by […]
- by /u/FactorAgreeable7518submitted by /u/FactorAgreeable7518 [link] [comments]
- by /u/FactorAgreeable7518submitted by /u/FactorAgreeable7518 [link] [comments]
- by /u/rov3eeHello everyone! I have a few questions about using DDA acquisition mode on a Waters Vion IMS QTOF to perform plant metabolomics. Does anyone here have experience with this instrument? I’m planning to test DDA both with and without ion mobility, but I’d really appreciate insights from people who have run it before. In particular, I’m wondering about: Scan time you typically use Collision energy settings — do you apply a fixed CE regardless of m/z, or do you use a low→high CE ramp? Whether you normally enable ion mobility during DDA or prefer to keep it off Any practical […]
