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#compbio โ€” Public Fediverse posts

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

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  1. I am deeply honored & thrilled to have been elected Vice President (& future 2028 President) of the ๐ˆ๐ง๐ญ๐ž๐ซ๐ง๐š๐ญ๐ข๐จ๐ง๐š๐ฅ ๐’๐จ๐œ๐ข๐ž๐ญ๐ฒ ๐จ๐Ÿ ๐๐ฎ๐š๐ง๐ญ๐ฎ๐ฆ ๐๐ข๐จ๐ฅ๐จ๐ ๐ฒ ๐š๐ง๐ ๐๐ก๐š๐ซ๐ฆ๐š๐œ๐จ๐ฅ๐จ๐ ๐ฒ #ISQPB

    isqbp.org/

    I look forward to serving this vibrant community of computational scientists #compchem #compbio #machinelearning #biophysics

  2. I am deeply honored & thrilled to have been elected Vice President (& future 2028 President) of the ๐ˆ๐ง๐ญ๐ž๐ซ๐ง๐š๐ญ๐ข๐จ๐ง๐š๐ฅ ๐’๐จ๐œ๐ข๐ž๐ญ๐ฒ ๐จ๐Ÿ ๐๐ฎ๐š๐ง๐ญ๐ฎ๐ฆ ๐๐ข๐จ๐ฅ๐จ๐ ๐ฒ ๐š๐ง๐ ๐๐ก๐š๐ซ๐ฆ๐š๐œ๐จ๐ฅ๐จ๐ ๐ฒ #ISQPB

    isqbp.org/

    I look forward to serving this vibrant community of computational scientists #compchem #compbio #machinelearning #biophysics

  3. I am deeply honored & thrilled to have been elected Vice President (& future 2028 President) of the ๐ˆ๐ง๐ญ๐ž๐ซ๐ง๐š๐ญ๐ข๐จ๐ง๐š๐ฅ ๐’๐จ๐œ๐ข๐ž๐ญ๐ฒ ๐จ๐Ÿ ๐๐ฎ๐š๐ง๐ญ๐ฎ๐ฆ ๐๐ข๐จ๐ฅ๐จ๐ ๐ฒ ๐š๐ง๐ ๐๐ก๐š๐ซ๐ฆ๐š๐œ๐จ๐ฅ๐จ๐ ๐ฒ #ISQPB

    isqbp.org/

    I look forward to serving this vibrant community of computational scientists #compchem #compbio #machinelearning #biophysics

  4. I am deeply honored & thrilled to have been elected Vice President (& future 2028 President) of the ๐ˆ๐ง๐ญ๐ž๐ซ๐ง๐š๐ญ๐ข๐จ๐ง๐š๐ฅ ๐’๐จ๐œ๐ข๐ž๐ญ๐ฒ ๐จ๐Ÿ ๐๐ฎ๐š๐ง๐ญ๐ฎ๐ฆ ๐๐ข๐จ๐ฅ๐จ๐ ๐ฒ ๐š๐ง๐ ๐๐ก๐š๐ซ๐ฆ๐š๐œ๐จ๐ฅ๐จ๐ ๐ฒ #ISQPB

    isqbp.org/

    I look forward to serving this vibrant community of computational scientists #compchem #compbio #machinelearning #biophysics

  5. Pinto et al. present SCINKD as a framework to identify unannotated sex chromosomes and curate diploid genome assemblies from a single individual.

    ๐Ÿ”— doi.org/10.1093/molbev/msag067

    #evobio #molbio #compbio

  6. Pinto et al. present SCINKD as a framework to identify unannotated sex chromosomes and curate diploid genome assemblies from a single individual.

    ๐Ÿ”— doi.org/10.1093/molbev/msag067

    #evobio #molbio #compbio

  7. Pinto et al. present SCINKD as a framework to identify unannotated sex chromosomes and curate diploid genome assemblies from a single individual.

    ๐Ÿ”— doi.org/10.1093/molbev/msag067

    #evobio #molbio #compbio

  8. Pinto et al. present SCINKD as a framework to identify unannotated sex chromosomes and curate diploid genome assemblies from a single individual.

    ๐Ÿ”— doi.org/10.1093/molbev/msag067

    #evobio #molbio #compbio

  9. Pinto et al. present SCINKD as a framework to identify unannotated sex chromosomes and curate diploid genome assemblies from a single individual.

    ๐Ÿ”— doi.org/10.1093/molbev/msag067

    #evobio #molbio #compbio

  10. Didelot et al. present the R package DiagnoDating for diagnosing issues in a reconstructed dated phylogeny, including outlier detection, posterior predictive checking and residual analysis.

    ๐Ÿ”— doi.org/10.1093/molbev/msag093

    #evobio #molbio #compbio #phylogeny

  11. Didelot et al. present the R package DiagnoDating for diagnosing issues in a reconstructed dated phylogeny, including outlier detection, posterior predictive checking and residual analysis.

    ๐Ÿ”— doi.org/10.1093/molbev/msag093

    #evobio #molbio #compbio #phylogeny

  12. Didelot et al. present the R package DiagnoDating for diagnosing issues in a reconstructed dated phylogeny, including outlier detection, posterior predictive checking and residual analysis.

    ๐Ÿ”— doi.org/10.1093/molbev/msag093

    #evobio #molbio #compbio #phylogeny

  13. Didelot et al. present the R package DiagnoDating for diagnosing issues in a reconstructed dated phylogeny, including outlier detection, posterior predictive checking and residual analysis.

    ๐Ÿ”— doi.org/10.1093/molbev/msag093

    #evobio #molbio #compbio #phylogeny

  14. Didelot et al. present the R package DiagnoDating for diagnosing issues in a reconstructed dated phylogeny, including outlier detection, posterior predictive checking and residual analysis.

    ๐Ÿ”— doi.org/10.1093/molbev/msag093

    #evobio #molbio #compbio #phylogeny

  15. Daniel Huson introduces displacement-optimized tanglegrams (DO-tanglegrams), a new approach that applies equally to trees and rooted phylogenetic networks, performing better than cophylo on trees and then NN-tanglegram on networks.

    ๐Ÿ”— doi.org/10.1093/molbev/msag066

    #evobio #molbio #compbio

  16. Daniel Huson introduces displacement-optimized tanglegrams (DO-tanglegrams), a new approach that applies equally to trees and rooted phylogenetic networks, performing better than cophylo on trees and then NN-tanglegram on networks.

    ๐Ÿ”— doi.org/10.1093/molbev/msag066

    #evobio #molbio #compbio

  17. Daniel Huson introduces displacement-optimized tanglegrams (DO-tanglegrams), a new approach that applies equally to trees and rooted phylogenetic networks, performing better than cophylo on trees and then NN-tanglegram on networks.

    ๐Ÿ”— doi.org/10.1093/molbev/msag066

    #evobio #molbio #compbio

  18. Daniel Huson introduces displacement-optimized tanglegrams (DO-tanglegrams), a new approach that applies equally to trees and rooted phylogenetic networks, performing better than cophylo on trees and then NN-tanglegram on networks.

    ๐Ÿ”— doi.org/10.1093/molbev/msag066

    #evobio #molbio #compbio

  19. Daniel Huson introduces displacement-optimized tanglegrams (DO-tanglegrams), a new approach that applies equally to trees and rooted phylogenetic networks, performing better than cophylo on trees and then NN-tanglegram on networks.

    ๐Ÿ”— doi.org/10.1093/molbev/msag066

    #evobio #molbio #compbio

  20. McArthur et al. present piqtree, an easy to use, open-source Python package that provides Python script-based control of IQ-TREEโ€™s phylogenetic inference engine.

    ๐Ÿ”— doi.org/10.1093/molbev/msag061

    #evobio #molbio #compbio

  21. McArthur et al. present piqtree, an easy to use, open-source Python package that provides Python script-based control of IQ-TREEโ€™s phylogenetic inference engine.

    ๐Ÿ”— doi.org/10.1093/molbev/msag061

    #evobio #molbio #compbio

  22. McArthur et al. present piqtree, an easy to use, open-source Python package that provides Python script-based control of IQ-TREEโ€™s phylogenetic inference engine.

    ๐Ÿ”— doi.org/10.1093/molbev/msag061

    #evobio #molbio #compbio

  23. McArthur et al. present piqtree, an easy to use, open-source Python package that provides Python script-based control of IQ-TREEโ€™s phylogenetic inference engine.

    ๐Ÿ”— doi.org/10.1093/molbev/msag061

    #evobio #molbio #compbio

  24. McArthur et al. present piqtree, an easy to use, open-source Python package that provides Python script-based control of IQ-TREEโ€™s phylogenetic inference engine.

    ๐Ÿ”— doi.org/10.1093/molbev/msag061

    #evobio #molbio #compbio

  25. @sishuowang & Meade introduce phyloHessian to enable the use of complex mixture substitution models in molecular dating. Empirical analysis of ancient symbiont lineages leads to a revised understanding of their host association origins.

    ๐Ÿ”— doi.org/10.1093/molbev/msag039

    #evobio #molbio #compbio

  26. @sishuowang & Meade introduce phyloHessian to enable the use of complex mixture substitution models in molecular dating. Empirical analysis of ancient symbiont lineages leads to a revised understanding of their host association origins.

    ๐Ÿ”— doi.org/10.1093/molbev/msag039

    #evobio #molbio #compbio

  27. @sishuowang & Meade introduce phyloHessian to enable the use of complex mixture substitution models in molecular dating. Empirical analysis of ancient symbiont lineages leads to a revised understanding of their host association origins.

    ๐Ÿ”— doi.org/10.1093/molbev/msag039

    #evobio #molbio #compbio

  28. @sishuowang & Meade introduce phyloHessian to enable the use of complex mixture substitution models in molecular dating. Empirical analysis of ancient symbiont lineages leads to a revised understanding of their host association origins.

    ๐Ÿ”— doi.org/10.1093/molbev/msag039

    #evobio #molbio #compbio

  29. @sishuowang & Meade introduce phyloHessian to enable the use of complex mixture substitution models in molecular dating. Empirical analysis of ancient symbiont lineages leads to a revised understanding of their host association origins.

    ๐Ÿ”— doi.org/10.1093/molbev/msag039

    #evobio #molbio #compbio

  30. Robbins, Liu & Kelly present RECUR, a method for identifying recurrent amino acid substitutions from multiple sequence alignments that is fast, easy to use, and scalable to thousands of sequences.

    ๐Ÿ”— doi.org/10.1093/molbev/msag036

    #evobio #molbio #compbio

  31. Robbins, Liu & Kelly present RECUR, a method for identifying recurrent amino acid substitutions from multiple sequence alignments that is fast, easy to use, and scalable to thousands of sequences.

    ๐Ÿ”— doi.org/10.1093/molbev/msag036

    #evobio #molbio #compbio

  32. Robbins, Liu & Kelly present RECUR, a method for identifying recurrent amino acid substitutions from multiple sequence alignments that is fast, easy to use, and scalable to thousands of sequences.

    ๐Ÿ”— doi.org/10.1093/molbev/msag036

    #evobio #molbio #compbio

  33. Robbins, Liu & Kelly present RECUR, a method for identifying recurrent amino acid substitutions from multiple sequence alignments that is fast, easy to use, and scalable to thousands of sequences.

    ๐Ÿ”— doi.org/10.1093/molbev/msag036

    #evobio #molbio #compbio

  34. Robbins, Liu & Kelly present RECUR, a method for identifying recurrent amino acid substitutions from multiple sequence alignments that is fast, easy to use, and scalable to thousands of sequences.

    ๐Ÿ”— doi.org/10.1093/molbev/msag036

    #evobio #molbio #compbio

  35. Deng et al. present TreeProfiler, a tool for automated annotation and interactive exploration of hundreds of features along large gene and species trees, with seamless summarization of mapped traits at internal nodes.

    ๐Ÿ”— doi.org/10.1093/molbev/msag028

    #evobio #molbio #compbio

  36. Deng et al. present TreeProfiler, a tool for automated annotation and interactive exploration of hundreds of features along large gene and species trees, with seamless summarization of mapped traits at internal nodes.

    ๐Ÿ”— doi.org/10.1093/molbev/msag028

    #evobio #molbio #compbio

  37. Deng et al. present TreeProfiler, a tool for automated annotation and interactive exploration of hundreds of features along large gene and species trees, with seamless summarization of mapped traits at internal nodes.

    ๐Ÿ”— doi.org/10.1093/molbev/msag028

    #evobio #molbio #compbio

  38. Deng et al. present TreeProfiler, a tool for automated annotation and interactive exploration of hundreds of features along large gene and species trees, with seamless summarization of mapped traits at internal nodes.

    ๐Ÿ”— doi.org/10.1093/molbev/msag028

    #evobio #molbio #compbio

  39. Martรญ-Gรณmez et al. developed gpmap-tools, integrating models for inference, phenotypic imputation, and error estimation from multiplex assays of variant effect data or natural sequences in the presence of genetic interactions.

    ๐Ÿ”— doi.org/10.1093/molbev/msag023

    #evobio #molbio #compbio

  40. Martรญ-Gรณmez et al. developed gpmap-tools, integrating models for inference, phenotypic imputation, and error estimation from multiplex assays of variant effect data or natural sequences in the presence of genetic interactions.

    ๐Ÿ”— doi.org/10.1093/molbev/msag023

    #evobio #molbio #compbio

  41. Martรญ-Gรณmez et al. developed gpmap-tools, integrating models for inference, phenotypic imputation, and error estimation from multiplex assays of variant effect data or natural sequences in the presence of genetic interactions.

    ๐Ÿ”— doi.org/10.1093/molbev/msag023

    #evobio #molbio #compbio

  42. Martรญ-Gรณmez et al. developed gpmap-tools, integrating models for inference, phenotypic imputation, and error estimation from multiplex assays of variant effect data or natural sequences in the presence of genetic interactions.

    ๐Ÿ”— doi.org/10.1093/molbev/msag023

    #evobio #molbio #compbio

  43. Martรญ-Gรณmez et al. developed gpmap-tools, integrating models for inference, phenotypic imputation, and error estimation from multiplex assays of variant effect data or natural sequences in the presence of genetic interactions.

    ๐Ÿ”— doi.org/10.1093/molbev/msag023

    #evobio #molbio #compbio

  44. Anchieri et al. benchmark the inference of selection with aDNA-like time series datasets, showing that ApproxWF can accurately estimate selection with datasets of โˆผ100 individuals when selection is strong.

    ๐Ÿ”— doi.org/10.1093/gbe/evaf234

    #genome #evolution #compbio

  45. Anchieri et al. benchmark the inference of selection with aDNA-like time series datasets, showing that ApproxWF can accurately estimate selection with datasets of โˆผ100 individuals when selection is strong.

    ๐Ÿ”— doi.org/10.1093/gbe/evaf234

    #genome #evolution #compbio

  46. Anchieri et al. benchmark the inference of selection with aDNA-like time series datasets, showing that ApproxWF can accurately estimate selection with datasets of โˆผ100 individuals when selection is strong.

    ๐Ÿ”— doi.org/10.1093/gbe/evaf234

    #genome #evolution #compbio

  47. Anchieri et al. benchmark the inference of selection with aDNA-like time series datasets, showing that ApproxWF can accurately estimate selection with datasets of โˆผ100 individuals when selection is strong.

    ๐Ÿ”— doi.org/10.1093/gbe/evaf234

    #genome #evolution #compbio

  48. Anchieri et al. benchmark the inference of selection with aDNA-like time series datasets, showing that ApproxWF can accurately estimate selection with datasets of โˆผ100 individuals when selection is strong.

    ๐Ÿ”— doi.org/10.1093/gbe/evaf234

    #genome #evolution #compbio

  49. Ramos-Gonzรกlez et al. present PharaohFUN, a web application designed for the evolutionary and functional analysis of protein sequences in photosynthetic eukaryotes, leveraging orthology relationships.

    ๐Ÿ”— doi.org/10.1093/molbev/msag011

    #evobio #molbio #compbio

  50. Ramos-Gonzรกlez et al. present PharaohFUN, a web application designed for the evolutionary and functional analysis of protein sequences in photosynthetic eukaryotes, leveraging orthology relationships.

    ๐Ÿ”— doi.org/10.1093/molbev/msag011

    #evobio #molbio #compbio

  51. Ramos-Gonzรกlez et al. present PharaohFUN, a web application designed for the evolutionary and functional analysis of protein sequences in photosynthetic eukaryotes, leveraging orthology relationships.

    ๐Ÿ”— doi.org/10.1093/molbev/msag011

    #evobio #molbio #compbio

  52. Ramos-Gonzรกlez et al. present PharaohFUN, a web application designed for the evolutionary and functional analysis of protein sequences in photosynthetic eukaryotes, leveraging orthology relationships.

    ๐Ÿ”— doi.org/10.1093/molbev/msag011

    #evobio #molbio #compbio

  53. Ramos-Gonzรกlez et al. present PharaohFUN, a web application designed for the evolutionary and functional analysis of protein sequences in photosynthetic eukaryotes, leveraging orthology relationships.

    ๐Ÿ”— doi.org/10.1093/molbev/msag011

    #evobio #molbio #compbio

  54. Malik et al. present the web-based Structome-AlignViewer, for evaluating structure-aware alignments through spatial mapping of alignment columns to protein structures, and quantitative confidence scoring.

    ๐Ÿ”— doi.org/10.1093/gbe/evag004

    #genome #evolution #compbio

  55. Malik et al. present the web-based Structome-AlignViewer, for evaluating structure-aware alignments through spatial mapping of alignment columns to protein structures, and quantitative confidence scoring.

    ๐Ÿ”— doi.org/10.1093/gbe/evag004

    #genome #evolution #compbio

  56. Malik et al. present the web-based Structome-AlignViewer, for evaluating structure-aware alignments through spatial mapping of alignment columns to protein structures, and quantitative confidence scoring.

    ๐Ÿ”— doi.org/10.1093/gbe/evag004

    #genome #evolution #compbio

  57. Malik et al. present the web-based Structome-AlignViewer, for evaluating structure-aware alignments through spatial mapping of alignment columns to protein structures, and quantitative confidence scoring.

    ๐Ÿ”— doi.org/10.1093/gbe/evag004

    #genome #evolution #compbio

  58. Malik et al. present the web-based Structome-AlignViewer, for evaluating structure-aware alignments through spatial mapping of alignment columns to protein structures, and quantitative confidence scoring.

    ๐Ÿ”— doi.org/10.1093/gbe/evag004

    #genome #evolution #compbio

  59. Shankar et al. present the updated MicrobeTrace 2.0 as a next-generation, interoperable tool for genomic epidemiology and data-driven public health response.

    ๐Ÿ”— doi.org/10.1093/molbev/msaf334

    #evobio #molbio #compbio

  60. Shankar et al. present the updated MicrobeTrace 2.0 as a next-generation, interoperable tool for genomic epidemiology and data-driven public health response.

    ๐Ÿ”— doi.org/10.1093/molbev/msaf334

    #evobio #molbio #compbio