Overview of the Glimma package

Glimma: interactive graphics for gene expression analysis

Motivation graphics for RNA-sequencing and microarray gene expression analyses may contain upwards of tens of thousands of points. Details about certain genes or samples of interest are easily obscured in such dense summary displays. Incorporating interactivity into summary plots would enable additional information to be displayed on demand and facilitate intuitive data exploration. Results T...

RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR

The ability to easily and efficiently analyse RNA-sequencing data is a key strength of the Bioconductor project. Starting with counts summarised at the gene-level, a typical analysis involves pre-processing, exploratory data analysis, differential expression testing and pathway analysis with the results obtained informing future experiments and validation studies. In this workflow article, we a...

Glimma: Interactive Graphics for RNA-seq Analyses User’s Guide

Overview of the Evolution Process of Student Assessment Methods in Medical Education: Report of the Change Process in Iran based on the 8-Step Model

Introduction: In the era of increasing development of electronic technology, using technology and making favorable changes in student assessment have a prominent role. The purpose of this study was to review the evolution process of student assessment methods in medical education and report its process in Iran based on the 8-step model) In Line with the Package for Medical Sciences Assessment S...

Phone Microbiome Contamination analysis

Loading required package: mgcv Loading required package: nlme This is mgcv 1.7-28. For overview type 'help("mgcv-package")'. Loading required package: MASS Attaching package: 'labdsv' The following object is masked from 'package:stats': density library(miscTools) library(xtable) library(ggplot2) # These options just for debugging knitr is automatically in dir. # setwd('~/Dropbox/rwjf/Meadow_eta...