The RSB Computational Biology and Bioinformatics Unit (CBBU) and ANU Statistical Consulting Unit (SCU) are organizing workshops for students and staff from JCSMR, RSB, and The Fenner School. Participants from outside of the three schools will be accepted if there are places available, on an individual basis.

The workshops will take place on November 8-9 (R), 26-28 (Stats) and 30 (Linux) and will start at 9:30am, finish at 4:30pm with lunch break 12:30 – 1:30.

The workshops are offered at no cost. Number of places is limited to approx. 20. In this edition of our workshops, to have a well-balanced group we would like to invite all Students and Staff, including Academics. To sign up please fill up and submit this form no later than Sunday, October 21^st. Information about granted places will be emailed to your email address on Wednesday, October 24^th. Please be aware that by signing up you are committing to attend and participate in the chosen workshops. Before signing up students (Master/Honours and PhD) and Postdocs are requested to obtain approval from their lab leaders or supervisors.

The workshops would serve their purpose best if we could analyze 'real life' datasets. Please indicate on the registration form if you can bring in your own data.

1. Introduction to R and RStudio, Programming in R 2 days: Thursday – Friday, 8 – 9^th November 2018

Delivered by Marcin Adamski from JCSMR/RSB

• Introduction to R and RStudio.
• Data types in R, and type conversions.
• Loading and saving tab and coma delimited files.
• Basic data exploration including plotting.
• Data sub-setting, filtering and joining.
• Adding new columns with calculated values.
• Detecting and handling errors an missing values in the data.
• Creating graphs and plots.

2. Experimental Design and Statistical Data Analysis 3 days: Monday – Wednesday, 26 – 28^th November 2018

Delivered by Terry Neeman from SCU
Please note that this workshop requires basic knowledge of R.

• Structure of an experiment: response, treatment factors, blocking factors.
• Introduction to the Statistical Model: Mean Structure (including Factorial models), Variance (blocking) structure.
• Planning your experiment: sample size estimation, identifying sources of variation, randomised complete Block, Split Plot, incomplete block designs.
• Data collection and Data Analysis: Exploring data (graphics and data summaries), review of data structures, linear models.
• Practice in fitting linear and generalised linear mixed models to data using R. Interpreting and assessing model assumptions.
• Workflows for high-throughput data analyses, e.g. gene expression from RNASeq.
• If time permits: Multiple hypothesis testing: false discovery rate and statistical models for genomic data analysis.
   

3. Demystifying Linux – Using The Unix Shell 1 day: Friday, 30^th November 2018

Delivered by Marcin Adamski from JCSMR/RSB

• Introduction Unix/Linux operating system.
• File system and directory structure.
• Remote computing - remote login and file transfer.
• Use of the terminal (command line interface).
• Bash commands and tools.
• Installing and running software packages.

Please do not hesitate to contact Marcin if you have any questions.