IISER-Mohali is an education cum research institute and we are involved in full-fledged science teaching to the under-grads, post-grads and PhD students. I teach following courses:
BIO411 - Bioinfomatics lab
Sequence composition analysis, ab intio gene prediction, Motif finding algorithms, Primer designing algorithm, Codon optimization, Sequence alignment algorithms, Phylogenetic analysis, Protein structure analysis, Molecular modelling and dynamics
IDC407 - Network Science
History of network models, Mathematics of networks, Local and global network attributes, Paths, Percolation, Price's model, Network dynamics, Network models of epidemic, Controllability
BIO459 - Epigenetics
Trans-generational epigenetic inheritance, Molecular mechanisms and evolution of epigenetic modifications, Linear and 3D genome organization, Epigenetic reprogramming during development and diseases, Genome technologies
IDC306 - Biocomputing
Practical computing for biologists using PERL/Python and R
IDC409 - Introduction to Data
ScienceIntroduction to big data, data storage, Hadoop, mySQL, HiveQl, missing value imputation, data scaling and normalization, exploratory data analyses, data distributions, correlograms, dimension reduction using PCA, SVD, K-means, SOM and t-SNE, machine leanring using PLA, SVM, DT, XgBoost, Naive Bayes, CNN etc.
BIO606 - Biostatistics
Set theory, Probability, Conditional probability and Bayes theorem, Descriptive statistics, Probability distributions (Binomial, Geometric, Normal, Pareto's, Poisson, Exponential, Gamma, Beta, Chi-square, t-distribution), Contgency tables and Chi-square test, Hypothesis testing, type I and II error, P-value, Power, parametric and non-parametric tests of signifcance, Linear regression, Correlation, Partial correlation, PCA, Causal inference
BIO401 - Genome Structure and Function
Review of Genome composition, GC and CpG content, Gene attributes, Promoter properties, DNA transposons & retrotransposons, piRNA, miRNAs, Linear organisation of genome, evolution of gene-clusters, Epigenetic modifications and 3D organisation of genome, Epigenetic reprogramming of genome during development and diseases, Genome technologies
BIO512 - Topics in Biology
Systems biology section: Introduction to scale-free networks, Gene regulatory networks, Hill's equation, Negative and positive Auto regulatory loops, Feed-forward, feed-back loops, oscillators etc.
IDC101 - Introduction to Computation (tutored)
Linux and Python
IDC620 - Computational Biology
Data-mining and Machine Learning section
IDC414 - Data Analysis using R
Introduction to R functions, data types and data structures, data import and export, programming in R, R-packages, statistics in R, data analysis and visualization, time series models, matrix algebra, dimension reduction, machine learning, optimization, network analysis, working with images.