Physalia-courses offers 3 provides courses in biological data analysis, interpretation and visualization using R.
1) Genomic Data Visualization and Interpretation. 11-15 September 2017.
Instructors: Drs Obi and Malachi Griffith (Washington University School of Medicine, US)
Course overview
The advent of rapid and relatively cheap massively parallel sequencing has dramatically increased the availability of genome, transcriptome, and epigenome profiling. Analysis workflows and published best practices are also now available to process raw sequence data into alignments, variant calls, expression estimates, etc., in relatively standardized file formats. Interpretation and visualization of these data, often consisting of thousands to billions of data points, and extracting biological meaning remains a serious challenge. In this workshop we will explore a number of best-in-class visualization tools, and provide working examples that demonstrate important principles of 'omic interpretation strategies.
For more info: https://www.physalia-courses.org/courses-workshops/course14/
2) STATISTICS FOR BIOLOGISTS USING R. 18-23 September 2017.
Instructor: Dr Ken Aho (Idaho State University, US)
Course overview
This course will demonstrate the extensive capabilities of the R environment, and seek to develop/broaden the competency of participants in the use of R statistical applications. The course will have two components presented in morning and afternoon sessions over five days. Component one (Monday Sept. 18, Tuesday Sept. 19) will emphasize R programming characteristics including data management, use of existing package functions, graphics, customized function writing, calling routines from compiled languages, and documentation. The second component (Wednesday Sept. 20 - Friday Sept. 22) will address implementation of statistical analyses with R, particularly linear models. The materials will be presented using biological examples, making frequent use of the library asbio (Applied Statistics and Statistical Pedagogy for Biologists).
For more info: https://www.physalia-courses.org/courses-workshops/course13/
3) Practical GWAS using Linux and R. 23-27 October 2017.
Instructor: Dr. Jing Hua Zhao (University of Cambridge School of Clinical Medicine, UK)
Course overview
The past decade has witnessed an astonishing development and the universal use of genome wide association studies (GWAS) in identification and characterisation of genetic variants underlying disorders and other variations in human and other species, which has an immense impact in biomedical research. This is owing to the ability to efficiently generate and process large quantity of genetic polymorphisms as well as to integrate with other sources such as gene expression and methylation. To tackle challenges in GWAS, a lot of methods and techniques have been established but many others are still evolving. The workshop therefore intends to give a grand picture as well as practical aspects of GWAS.
For more info: https://www.physalia-courses.org/courses-workshops/course15/
Should you have any questions, please do not hesitate to contact us: info@physalia-courses.org
