Science Research Weekly

Episode 1: An Explosive Beginning

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Welcome to Science Research Weekly, the successor to my first podcast, Statistics Weekly.  This abbreviated trial run of an episode includes: a research article on microbes from a volcanic island, the largest stellar catalogue to date, Arduino project ideas for 2023, and NSF Research and Development grants.

References:

  • The Early Microbial Colonizers of a Short-Lived Volcanic Island in the Kingdom of Tonga
  • A high-quality Ixodes scapularis genome advances tick science
  • Haplotype-aware pantranscriptome analyses using spliced pangenome graphs
  • The molecular evolution of genes previously associated with large sizes reveals possible pathways to cetacean gigantism
  • The Dark Energy Camera Plane Survey 2 (DECaPS2): More Sky, Less Bias, and Better Uncertainties
  • Volume 105 of the Journal of Statistical Software
  • 12 blog posts from 2022 that deserve a second look
  • Top 15 Stunning Arduino Project Ideas For 2023
  • Some R Conferences for 2023
  • Web scraping in R
  • Imputation in R: Top 3 Ways for Imputing Missing Data
  • FDA: Fellowship in Understanding Pathogenesis and Improving Detection of Flaviviruses
  • NSF: Future Manufacturing
  • NSF: Division of Environmental Biology
  • NSF: Division of Molecular and Cellular Biosciences Core Programs
  • NSF: Division of Integrative Organismal Systems Core Programs
  • NIH NOSI: Research on the Etiology, Early Detection, Screening and Prevention of Early-Onset Colorectal Cancer
  • NIH NOSI: Computational and Statistical Methods to Enhance Discovery from Health Data

    • R packages:

    • ggplate: Create Layout Plots of Biological Culture Plates and Microplates
    • glmmrOptim: Approximate Optimal Experimental Designs Using Generalised Linear Mixed Models
    • shiny.benchmark: Benchmark the Performance of 'shiny' Applications
    • blindreview: Blind Review Using Forward Search Procedures
    • metabias: Meta-Analysis for Within-Study and/or Across-Study Biases
    • evoTS: Analyses of Evolutionary Time-Series
    • OssaNMA: Optimal Sample Size and Allocation with a Network Meta-Analysis
      • ...more
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      Science Research WeeklyBy Mark R Williamson