First post with blogdown
This is the first post I created with the R package blogdown. Very excited!!! Watch my coming posts. Have a great day.
2018-07-27   schedule 6 s  
A Plain Markdown Post
This is a post written in plain Markdown (*.md) instead of R Markdown (*.Rmd). The major differences are: You cannot run any R code in a plain Markdown document, whereas in an R Markdown document, you can embed R code chunks (```{r}); A plain Markdown post is rendered through Blackfriday, and an R Markdown document is compiled by rmarkdown and Pandoc. There are many differences in syntax between Blackfriday’s Markdown and Pandoc’s Markdown.
2016-12-30   schedule 1 min 16 s  
Hello R Markdown
R Markdown This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com. You can embed an R code chunk like this: summary(cars) ## speed dist ## Min. : 4.0 Min. : 2.00 ## 1st Qu.:12.0 1st Qu.: 26.00 ## Median :15.0 Median : 36.00 ## Mean :15.4 Mean : 42.98 ## 3rd Qu.
2015-07-23   schedule 43 s  
Lorem Ipsum
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
2015-01-01   schedule 18 s  
Welocome to my blog
Background As a computational biologist with 20 years of experience, I have conducted research across a broad spectrum of topics, including: Cancer genomics and diagnostic methods Gene expression regulation and dosage compensation DNA methylation Comparative and evolutionary genomics Origins of COVID-19 viruses The publications for these studies can be found at Google scholar. Throughout my research career, I have developed a versatile set of technical skills, including: Programming: R, Python, Perl, Linux/Bash, nextflow, and more Data visualization: RMarkdown, Shiny, Flexdashboard, streamlit, etc.
0001-01-01   schedule 48 s