GMRRF/Virtue Biologics Short Term Course in Data Analysis Using R/Bioconductor

Prof. G. M. Reddy Research Foundation and

Virtue Biologics offers 

Short Term Course in Data Analysis Using R/Bioconductor.

Data analysis using R/Bioconductor, for biologists only

Total hours 11 hr (3 hr x4 days)

                                               

R/Bioc for Biologists

This course is designed for biologists (novice and intermediate R users) who would like to get their hands dirty in analysing their data instead of turning their data to someone else.

Day 1 introduces R.

Day 2 introduces bioconductor software and overview of data and functional analysis of omics data.

Day 3 introduces microarray data analysis using Bioconductor. Day 4 introduces NGS data analysis. Course consists of lectures with extensive hands-on practicals. Infrastructure would be provided by institute. Participants can bring their own laptops/notebooks, if they choose to be.

Course covers preprocessing of data, data analysis, visualization and functional annotation of omics data. By the end of the course, one should be able to use R/ Bioc software efficiently on biological data and make scientifically strong choices.

Participants are requested to make their own arrangements for transportation and accommodation. However, institute will guide the participants in securing the accommodation nearby places.

1.    Introduction to R/Bioconductor 3 hr

a.    Brief history of R and Bioconductor

b.    Installation on linux and windows

c.    Installation of Rstudio, Rcmdr

d.    Usage of Rstudio

e.    Installation of packages in Rstudio

f.     Installation and usage of packages in command line

2.     Omics data analysis using R/Bioconductor

a.    Installation of analysis packages  30 min

b.    Installation of annotation packages 30 min

c.    Importing, analysis, visualization  and exporting of external data 2 hr

3.    Analysis of affymetrix microarray data  2 hr

                                      i.        Using R/ Bioc

                                     ii.        Using Limma/AffylmGUI

b.    Visualization of biological data 1hr

                                      i.        Heatmaps

                                     ii.        Clustering

                                    iii.        Treemaps

4.    Functional annotation of NGS data 2 hr

a.    RNA-seq data analysis using aligned files

b.    WES data analysis using aligned files

c.    Annotation and visualization of VCF data from NGS data analysis

The course includes a rich collection of lectures by eminent and experienced people from Translational bioinformatics. Please note that this is not a placement course and is aimed at biologists, not at programmers and/or statisticians. In NGS analysis, preprocessing and alignments are not available in this course.

*Course starts from 20/7/2015. Registration is mandatory which closes on 18 /7/15.

Fee structure:    Rs 7500/-

Venue:                Prof. G.M. Reddy Research Foundation, Uppal, Hyderabad.

Contact Details: Admin

                          Cell: 9063920123, Ph: 040-64512218

                          Website: www.gmrrf.org, Email: info@gmrrf.org