BDBP-2019

MacLean2015

Course Themes

Biomarker discovery
Data mining
Genomics & Proteomics
Mass Spectrometry
Neural networks and protein modelling
Ontological methods for biological systems

Course Contents

Introduction to Bioinformatics

Statistical theory behind bioinformatics methods

Introduction to public data repositories, sourcing, obtaining, formatting and interpreting the data.

Experimental design for bioinformatics, study design, limitations, randomisation, blinded studies and power analysis.

Obtaining and formatting data from array express.

Regression methods for analysis of big data. Regression, residuals, distributions and correction for false discovery.

Regression data analysis for transcriptomic data. Processing and interpreting the results.

Ontological methods for study of biological systems. Freely available tools and how they can be used.

Ontological and pathways analysis using freely available tools.

Machine learning and non-linear biomarker discovery approaches. Principals of machine learning, Neural networks, deep learning. And introduction to Artificial Intelligence.

Network inference methods and machine learning methodological demonstration.

Demonstration/ Quantitative proteomics/ mass spectrometry/ DIA/ iTRAQ/ LFQ/ Data Analysis.

Demonstration of NGS platforms.

Schedule

Events Tuesday
March 5
Wednesday
March 6
Thursday
March 7
Friday
March 8
BDBP-2019
Coordinator
BDBP-2019
MacleanProf. Graham Ball
Nottingham Trent University, UK.

Coordinator
BDBP-2019
MacleanProf. Sanjeeva Srivastava
IIT Bombay, India

(Speakers)
Leigh-Anderson
Dr. Ravi Gupta
MEDGENOME
mark
Dr. Neelam Shirsat
ACTREC
Maclean
Dr. Amit Dutt
ACTREC
subhra
Dr. Anirvan
IIT Bombay
subhra
Dr. Radhakrishna Bettadapura
Strand Life Sciences
subhra
Dr. Ram Kumar Singh
MD Anderson Cancer Centre
subhra
Dr. Nikhil Phadke
GenePath Dx
subhra
Dr. Ashutosh Gupta
IIT Bombay