Description

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