Statistics for Machine Learning with R (SMLR)
Click to view the SMLR brochure Machine learning is the need of the hour and statistical techniques have an integral role to play while studying machine learning techniques. The aim of this workshop is to facilitate the participants with a basic to advance course on Statistics for Machine Learning. Along with the theoretical background, hands-on…
Fundamentals of Mathematical Biology (FMB)
This workshop is intended to discuss various mathematical methods and techniques applicable to the field of Mathematical Biology. The objective of the workshop is to facilitate the participants with fundamentals of mathematical modeling and analysis of these models on MATLAB/R/Mathematica/Python. The workshop will cover various models, Statistical Inference on biological growth curve models, Turing Instability…
Host-microbe interactions understanding using computational methods
Microbes are responsible for positive and negative health-effects of the host. Pathogens cause various disease to its host while gut microbes play on an important role to host health, immediately after birth and throughout the host’s life. Interaction of host with microbe is defined as how microbes sustain themselves within host organisms on a molecular,…
Introduction to Molecular Dynamics Simulation
The Molecular Dynamic Simulation study is a way to understand the properties of assemblies of molecules in terms of their structure and the microscopic interactions between them. The session will train the individuals, the basic concepts which will be backed by hands-on session on Molecular Dynamic Simulations. Date: 24th February 2023 Mode: Offline Workshop date…
Genome assembly construction, annotations, and variant calling
Advancements in short-read and long-read DNA sequencing technologies have enabled researchers to obtain high-quality genomes for various species. But the construction of chromosomal-level genome assembly is a very tedious process and requires high computational power and time. The objective of this module provides the insight: 1. Genome sequencing technologies (Short and long Reads) 2. Methods…
Basics of Python programming and advanced data structures
This workshop is intended to teach the basics of Python programming and advanced data structures. It will help the participants to code in an efficient way and manage the multidimensional biological data. Intended audience Bioinformatics personnel and students with no prior programming experience. Mode of session Mixed (Offline/Online) Workshop date 25th and 26th Feb 2023…
Next Generation Sequencing Algorithms -Alignment
Intended Audience: Students, Research Scholars with basic coding knowledge Mode: Offline June 25-26, 2022 Instructor: Prof Pritish Varadwaj This workshop is intended to get acquainted with the high throughput sequencing data and its processing. Since these data often pose a problem of the big data domain, the existing algorithm to tackle such problems will be discussed…
Next Generation Sequencing Algorithms -Assembly
Intended Audience: Students, Research Scholars with basic coding knowledge Mode: Offline September 24-25, 2022 Instructor: Prof Pritish Varadwaj This workshop is intended to get acquainted with the high throughput sequencing data and its processing. Since these data often pose a problem of the big data domain, the existing algorithm to tackle such problems will be discussed…
Statistical modeling with R (SMWR)
Intended Audience: Masters students, Research Scholars, and Faculty members Mode: Online January 9-15, 2023 Instructor: Dr. Savitri Joshi This workshop is intended to discuss various statistical methods and their applications to real-life problems coming from Medical statistics, epidemiology, financial statistics, etc. The objective of the workshop is to facilitate the participants with statistical modeling using…