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
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