'R' is a popular statistics software program used widely in various research fields. This two day lecture and hands-on computer based laboratory workshop is designed to introduce bench scientists to R programming, utilizing the different tools available for scientific data analysis. Hands-on topics will include Data Types; Import/Export Data; "Manipulation of Tabular Data", "Basic Statistics", and "Visualization using R".
Lecture and Hands-on Interactive Training
Team taught by active researchers
Thumbnail drive with Lectures and Workshop material
Space limited to 24 participants
Registration Fee: $695
Laptops are available on site but you are also welcome to bring your own (please make sure you have administrator rights). Assistance will be given to those who need help installing 'R' and 'R Studio'. By using your personal laptop, you will be able to continue using R and R Studio, utilizing the examples given during the program after the workshop has ended.
|Sajung Yun, Ph.D.
Dr. Sajung Yun received his Ph.D. in biomedical sciences from University of Hawaii at Manoa. His doctoral dissertation was about relationships between vascular architecture of Circle of Willis and dementia including Alzheimer's disease. Currently a contractor with the National Institute of Diabetes Digestive and Kidney Diseases (NIDDK), Dr. Yun’s current research projects focus on in vivo and in vitro gastrointestinal tumors using CRISPR-Cas9. Dr. Yun has managed large clinical databases and currently holds a certification in healthcare data analytics.
|Allissa Dillman, Ph.D.
Dr. Allissa Dillman received her Ph.D. in neuroscience from the graduate partnership program between NIH and the Karolinska Institutet. She studied gene expression regulation, splicing and RNA editing in development and disease. Her specific interest in RNA modifications include base pair mapping in the transcriptome and their potential biological function. In 2015, she joined the National Cancer Institute for her postdoctoral work where she studies epigenetic regulation of splicing and the identification and biological function of novel RNA modifications. Throughout her scientific career she has contributed to more than 30 scientific publications and participates in mentorship and teaching of both bioinformatics and RNA biology. Dr. Dillman has also participated as a team lead for RNA related projects in multiple hackathons at the NIH.
|Niraj Trivedi, Ph.D.
Dr. Trivedi is a branch statistician for Columbus Technologies as a contractor for the Social Behavioral Research Branch at the National Human Genome Research Institute (NHGRI) at the National Institutes of Health. Dr. Trivedi provides statistical, computational, and bioinformatic support to scientists of the institute for their data analysis needs. This includes microarray analysis, statistical analysis, and general analysis in biomedical "big data"
“This is one of the best workshops on R. The teachers are excellent and the course is well designed.” Vaibhav S., PhD, Cleveland Clinic
“It is a very helpful workshop. I would recommend it to all scientists working in biological field.” Chunping Q., RegenxBio
“The course provided a good introduction to R programming, with hands-on-examples.” Elad F., RegenxBio
“Very good, learned many things.” Boajesh S., NIH
“I really like the course and it’s really helpful. I would say if the workshop can be held for longer time, such as trained within one week instead of two days, which is much better.” Zhuo W., RegenxBio
“Both of the lecturers are very knowledgeable. I really enjoy the courses and learned a lot.” Lan J., RegenxBio
“The instructors are great. I just wish we had one more day to cover everything. Thank you.” Alexandra D., Kelly & Dewitt, Inc.
“This is one of the best courses on R for Research Scientist. Teachers are excellent and the course is well designed.” Vaibhav S., Lerner Research Institute, Cleveland Clinic
“It is a very helpful workshop. I will recommend to all scientists working in a biological field.” CQ