home.social

#phenomics — Public Fediverse posts

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

  1. "Minimal information standardization of phenomic experimental data in animals" doi.org/10.37044/osf.io/ncrkm_

    "The current landscape of animal phenomics is characterized by a substantial lack of stan-dardization, hindering data reuse, reproducibility, and interoperability across studies, all ofwhich are particularly important in light of the 3Rs principles for animal experiments (replace, reduce, refine) (Hubrecht & Carter, 2019). Within ELIXIR, the Domestic Animals Genome andPhenome Focus Group (since December 2025 an ELIXIR community) emerged to establishstandardized practices that enhance the quality and interoperability of animal research data" index.biohackrxiv.org/2026/04/

    #phenomics #3r #biohackathon #BioHackEU25

  2. "Minimal information standardization of phenomic experimental data in animals" doi.org/10.37044/osf.io/ncrkm_

    "The current landscape of animal phenomics is characterized by a substantial lack of stan-dardization, hindering data reuse, reproducibility, and interoperability across studies, all ofwhich are particularly important in light of the 3Rs principles for animal experiments (replace, reduce, refine) (Hubrecht & Carter, 2019). Within ELIXIR, the Domestic Animals Genome andPhenome Focus Group (since December 2025 an ELIXIR community) emerged to establishstandardized practices that enhance the quality and interoperability of animal research data" index.biohackrxiv.org/2026/04/

    #phenomics #3r #biohackathon #BioHackEU25

  3. 🦠 Are microbes evolving faster than our ability to industrialize them?

    🔗 Exploring Genome-Wide Mutation Dynamics and Bacterial Cellulose Impairment in Komagataeibacter intermedius Cultivated Under Agitation Stress. Computational and Structural Biotechnology Journal (CSBJ). DOI: doi.org/10.34133/csbj.0009

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

    #SyntheticBiology #Sustainability #Biomaterials #Microbiology #IndustrialBiotechnology #MetabolicEngineering #Genomics #Phenomics

  4. 🆕Interview: In the accompanying blog post, the first author, Di Li, tell us about her and talks about the internal and external morphology of 𝑂𝑜𝑐𝑒𝑟𝑎𝑒𝑎 𝑏𝑖𝑟𝑜𝑖.
    #phenomics #anatomy #MicroCT #3D #reconstruction

    blog.myrmecologicalnews.org/20

  5. Planning #FAIR packaging of #plant #phenomics #ResearchData - our current focus is on #ROCrate with #JsonLD to describe domain concepts using #MIAPPE, likely #SSN for sensors, #ProvO (or just #ISA) for provenance, public #vocabularies for each partner's measurement types, etc. and lots of image and CSV files.

    #MachineLearning is a key use for the #data.

    Should we also be looking at #Croissant?

    If so, does anyone have experience of combining Croissant and RO-Crate?

    Any insights welcomed.

  6. Planning #FAIR packaging of #plant #phenomics #ResearchData - our current focus is on #ROCrate with #JsonLD to describe domain concepts using #MIAPPE, likely #SSN for sensors, #ProvO (or just #ISA) for provenance, public #vocabularies for each partner's measurement types, etc. and lots of image and CSV files.

    #MachineLearning is a key use for the #data.

    Should we also be looking at #Croissant?

    If so, does anyone have experience of combining Croissant and RO-Crate?

    Any insights welcomed.

  7. Planning #FAIR packaging of #plant #phenomics #ResearchData - our current focus is on #ROCrate with #JsonLD to describe domain concepts using #MIAPPE, likely #SSN for sensors, #ProvO (or just #ISA) for provenance, public #vocabularies for each partner's measurement types, etc. and lots of image and CSV files.

    #MachineLearning is a key use for the #data.

    Should we also be looking at #Croissant?

    If so, does anyone have experience of combining Croissant and RO-Crate?

    Any insights welcomed.

  8. Planning #FAIR packaging of #plant #phenomics #ResearchData - our current focus is on #ROCrate with #JsonLD to describe domain concepts using #MIAPPE, likely #SSN for sensors, #ProvO (or just #ISA) for provenance, public #vocabularies for each partner's measurement types, etc. and lots of image and CSV files.

    #MachineLearning is a key use for the #data.

    Should we also be looking at #Croissant?

    If so, does anyone have experience of combining Croissant and RO-Crate?

    Any insights welcomed.

  9. Planning #FAIR packaging of #plant #phenomics #ResearchData - our current focus is on #ROCrate with #JsonLD to describe domain concepts using #MIAPPE, likely #SSN for sensors, #ProvO (or just #ISA) for provenance, public #vocabularies for each partner's measurement types, etc. and lots of image and CSV files.

    #MachineLearning is a key use for the #data.

    Should we also be looking at #Croissant?

    If so, does anyone have experience of combining Croissant and RO-Crate?

    Any insights welcomed.

  10. Phenotype microarray (Microbiology 🦠)

    The phenotype microarray approach is a technology for high-throughput phenotyping of cells. A phenotype microarray system enables one to monitor simultaneously the phenotypic reaction of cells to environmental challenges or exogenous compounds in a high-throughput manner. The phenotypic reactions are recorded as either end-point measurements or ...

    en.wikipedia.org/wiki/Phenotyp

    #PhenotypeMicroarray #Phenomics #Physiology #Microbiology

  11. Interested in selecting for environmental response?
    Wheat phenology and environmental responses have been affected by breeders selections since 1970. High-throughput field phenotyping methods reveal these developments, allowing to better adapt future varieties to climate change. Read more in the Journal of Experimental Botany doi.org/10.1093/jxb/erad481
    #wheat #phenomics #physiological_breeding #temperature #climatechange #breeding

  12. @askennard

    In this preprint, we identified a conserved or suspiciously structurally similar interface between a large highly conserved well-folded protein and its fast-evolving co-factors in yeast and humans. Some co-factors are large, but all of them consist primarily of disordered regions.

    biorxiv.org/content/10.1101/20

    We are now using alpha fold to predict protein-protein interactions amongst proteins that are linked to these ones via phenomics.

    #StructurePredictions #Phenomics #alphafold

  13. @askennard

    In this preprint, we identified a conserved or suspiciously structurally similar interface between a large highly conserved well-folded protein and its fast-evolving co-factors in yeast and humans. Some co-factors are large, but all of them consist primarily of disordered regions.

    biorxiv.org/content/10.1101/20

    We are now using alpha fold to predict protein-protein interactions amongst proteins that are linked to these ones via phenomics.

  14. @askennard

    In this preprint, we identified a conserved or suspiciously structurally similar interface between a large highly conserved well-folded protein and its fast-evolving co-factors in yeast and humans. Some co-factors are large, but all of them consist primarily of disordered regions.

    biorxiv.org/content/10.1101/20

    We are now using alpha fold to predict protein-protein interactions amongst proteins that are linked to these ones via phenomics.

    #StructurePredictions #Phenomics #alphafold

  15. @askennard

    In this preprint, we identified a conserved or suspiciously structurally similar interface between a large highly conserved well-folded protein and its fast-evolving co-factors in yeast and humans. Some co-factors are large, but all of them consist primarily of disordered regions.

    biorxiv.org/content/10.1101/20

    We are now using alpha fold to predict protein-protein interactions amongst proteins that are linked to these ones via phenomics.

    #StructurePredictions #Phenomics #alphafold

  16. @askennard

    In this preprint, we identified a conserved or suspiciously structurally similar interface between a large highly conserved well-folded protein and its fast-evolving co-factors in yeast and humans. Some of the co-factors are large, but all of them consist primarily of disordered regions.

    biorxiv.org/content/10.1101/20

    We are now using alpha fold to predict protein-protein interactions amongst proteins that are linked to these ones via phenomics.

    #StructurePredictions #Phenomics