Workshop - 04/2022

This workshop is designed to provide hands-on training of different modules of Basic Bioinformatics (Python & R), Genomics, Machine Learning, Network Biology, Next Generation Sequencing (NGS) data processing, Microbiome data analysis, Protein Structure, and Molecular Dynamics Simulations. This event is specially designed for the beginners in the field, and very useful for the students ans researchers already working in the field.  

​

Who can participate: Students (B.Sc./B.Tech/M.Sc./M.Tech), Research Fellows (Ph.D. students), Researchers (JRF/SRF/RA), Faculty, Scientists, and Company Personals. 

​

Workshop Logistics 

Last date of registration: April 12, 2022

Fee: Rs. 800/- for Indian Participants, $20 (USD) for International Participants.

​

Prerequisite for the workshop

• Computer/Laptop with stable internet connection, and MIC.

• Basic knowledge of molecular biology.

​

Certification and other highlights

• Participants must have access to the laptop/desktop with a stable internet connection. 

• Participants successfully completing the training will be provided with E-certificate.

• The entire training will be online and interactive (16-20 Hours).

• We will provide the full recordings of all the training sessions. 

• We will provide the link (e.g. Webex) to join the training sessions, one day before the event.

​

Help and Support 

​

support@nextgenhelper.com

​

Workshop Timings (Indian Standard Time e.g. IST)

​

April 14, 2022 (07:00 - 08:00 PM): Basics of Python.​

• Introduction to Python and code editors

• Basic programming concepts

• Conditionals and loops

​

April 15, 2022 (07:00 - 08:00 PM): Data handling in Python.

• File handling in Python

• Coding and data handling

April 16, 2022 (07:00 - 08:00 PM): Advanced commands in Python.

• Introduction to BioPython

• Useful modules and operations for biologists

​

April 17, 2022: You have to Practice, No live session.

​

April 18, 2022 (07:00 - 08:00 PM):Protein structure prediction and visualization

• Basics of protein structure

• Understanding of PDB files

• Proteins structure visualization

• Usages of Pymol, Swiss PDB viewer, Pymol, UCSF Chimera

​

April 19, 2022: You have to Practice, No live session.

​

April 20, 2022 (07:00 - 08:00 PM): Learn 'R' programming for beginners ​

• Basics of 'R' and 'R studio'.

• Installation of 'R' and 'R Studio'​

​

April 21, 2022 (07:00 - 08:00 PM): File and data handling in R with R-Studio

• Basic data/file handling in R.

• Graph preparation in R with R studio

​

April 22, 2022 (07:00 - 08:00 PM): Quality Control of Next Generation Sequencing (NGS) datasets

• Basics of NGS datasets, generation and Quality Score.

• Data handling and Filtering of NGS datasets, trimming etc.

• Training of tools to filter the NGS datasets.

​

April 23, 2022 (07:00 - 08:00 PM): Gene Whole genome assembly with NGS datasets

• Basics of Whole genome assembly

• Demonstration of whole genome assembly with short reads

• Quality assignment of whole genome assembly

​

April 24, 2022 (07:00 - 08:00 PM): Whole Genome Annotations, and Gene annotations

• Gene prediction

• Whole genome annotation with PROKKA pipeline for prokaryotic genomes

• Assigning the functions to the predicted genes

​

April 25, 2022: You have to Practice, No live session.

​

April 26, 2022 (07:00 - 08:00 PM): Microbiome data analysis-I 

• Introduction to microbiome analysis (Sequencing techniques data types)

• From sequencing to Counts (Quality Control, Taxonomic assignment)

​

April 27, 2022 (07:00 - 08:00 PM): Microbiome data analysis-II

• Diversity analysis and comparing microbiomes

• Tools and Methods for microbiome analysis

​

April 28, 2022: You have to Practice, No live session.

​

April 29, 2022 (07:00 - 08:00 PM): Drug Target Identification through Data-driven Approaches- I

• How to define a drug target

• Pan-genome and network based approaches for drug target identification

​

April 30, 2022 (07:00 - 08:00 PM): Drug Target Identification through Data-driven Approaches- II

• Hands-on with sample genomes and small networks

• Visualization modules

​​

Scientists for this Workshop