• by /u/Sea_Parsnip_7442
    submitted by /u/Sea_Parsnip_7442 [link] [comments]
  • by /u/Ok_Writing_2525
    submitted by /u/Ok_Writing_2525 [link] [comments]
  • by /u/DrOfThugonomics
    submitted by /u/DrOfThugonomics [link] [comments]
  • by /u/Left_Ad8814
    submitted by /u/Left_Ad8814 [link] [comments]
  • by /u/nehadaspal
    Hi everyone! I'm Neha! I'm looking for a team to make a capstone project for the Gene Lab NASA Program GL4HS. I'm extremely interested in neuroscience and microbiology. ​ I have extensive experience in microbiology where I work on a project testing the effects of microplastics on C. elegans for 3 years, and wrote a research paper and presented it at Columbia. ​ I have cool ideas for this project! So I'm looking for determined and driven individuals. ​ Please email at [ndpal34@gmail.com](mailto:ndpal34@gmail.com) if you are interested. Thanks! submitted by /u/nehadaspal [link] [comments]
  • by /u/Left_Ad8814
    This version of the chart I put together is cleaner and covers more edge-case caveats. Feel free to share, provide feedback or suggestions, and use if it helps! submitted by /u/Left_Ad8814 [link] [comments]
  • by /u/Holodoxa
    submitted by /u/Holodoxa [link] [comments]
  • by /u/PenfieldLabs
    Allelix is a CLI tool that takes a raw data file and annotates every variant against 7 reference databases, producing an HTML or JSON report. Supports 23andMe, AncestryDNA, VCF, and gVCF (compressed or uncompressed) – so it works with both consumer genotyping and WGS data. Three report types: full analysis (all databases, configurable magnitude filter), methylation pathway (MTHFR/MTR/MTRR/COMT/CBS), and pharmacogenomics (drug-gene interactions). Runs locally on your machine — no data leaves your computer. On an M3 MacBook it handles VCF files over 1 GB in under 2 minutes. https://github.com/allelix/allelix AGPL-3.0 licensed. Feedback, bug reports, and feature requests welcome. Allelix v2.2.1 […]
  • by /u/marketern
    Any French in the field of genomics? submitted by /u/marketern [link] [comments]
  • by /u/Left_Ad8814
    The goal was to arrange the 64 coding-strand DNA codons so adjacent cells differ by minimal nucleotide-level changes, similar to how Karnaugh maps use Gray-code ordering. After assigning each base a two-bit value using purine/pyrimidine size and Watson-Crick pairing strength, the codons can be laid out in a way that exposes clusters of synonymous codons, chemically similar amino acids, and control signals. submitted by /u/Left_Ad8814 [link] [comments]
  • by /u/Left_Ad8814
    This is a color-coded, periodic-table-style DNA codon chart for translating coding-strand DNA triplets into amino acids, start, and stop signals. Its main strengths are fast lookup, visual grouping, and beginner-friendly mutation analysis. Its main limitations are that it assumes the standard genetic code, does not determine reading frame, and must be used carefully with template DNA or mRNA. I had been sitting with this chart for about a year now. The idea came to me one day after a digital logic class: Karnaugh maps use gray code specifically to minimizes changes between adjacent cells, so why can't the genetic code […]
  • by /u/Acrobatic-Teach-3115
    submitted by /u/Acrobatic-Teach-3115 [link] [comments]

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