Lab Safety (Dr Hemant Gautam)

Computer Applications & Informatics

(Dr S. Ramachandran)

Introduction to R, a programming and environment language for statistical computation and graphics

Reading and writing files, lists, dataframes and S4 objects

Random sampling, statistical tests and data visualisation

Bioinformatics databases and integrative extraction of information and compilation

Gene networks and Pathways with statistical significance, Gene expression (visual heatmap), creating your own network

Basic Mathematics & Statistical Methods

(Dr S. Ramachandran)

Data types in biology

statistical way of thinking using some examples

summary statistics - mean, median, standard deviation, variance with plots visualization

Visualization of data - histograms, distribution, logarithms transformation, correlation

Statistical testing - hypothesis generation, testing, False Discovery Rate

Intellectual Property

(Dr Jyoti Yadav)

Tools and techniques

(Dr Rakesh Sharma and Dr Archana Singh)

Genomics (Dr Rakesh Sharma)

From Sanger Sequencing to NextGen sequencing

Applications

Methodology

Tools for analysis

Microscopy and flow cytometry concepts (Dr Archana Singh)

Spectral resolution, Spatial resolution, epifluorescence, confocal, super-resolution microscopy, Electron Microscopy

Fluorescence activated cell sorting and cytometry

Science Communication & Scientific writing

(Dr Chetana Sachidanandan)

Course 1b

Research and Publication Ethics (2 credits)

Dr Sheetal Gandotra

Philosophy and Ethics, Scientific Conduct, Publication Ethics, Publication Misconduct

This course will be taught through case studies with student led discussions and presentations.