SCHEDULED WORKSHOPS
Workshop on Artificial Intelligence In Modern Biology
Artificial Intelligence (AI) is an area of multidisciplinary machine intelligence which has immense potential to provide solutions for classification problems in various fields of modern biology- healthcare, medicine, environment, agriculture, to name a few. The workshop is intended to train fellows, young faculties and students in bioinformatics, who wish to apply Artificial Intelligence and Machine learning in their research.
Basic and Advance Next Generation Sequencing (NGS) Data Analysis
The "One Day Workshop on Basic and Advance Next Generation Sequencing (NGS) Data Analysis” is intended to train coordinators, bioinformatics centre staff, post- doctoral fellows and students in Bioinformatics (preferably linked to DBT BTISNet centres) in the area of NGS data analysis. The workshop will include lectures and illustrative sessions on NGS data pre-processing, Whole Genome Sequencing (WGS) data assembly and annotation, RNA-Seq data analysis etc.
Advanced Structural Bioinformatics
The workshop on Advanced Structural Bioinformatics is intended to train coordinators, bioinformatics centre staff, post-doctoral fellows and students in bioinformatics (preferably linked to DBT BTISNet centres) in the area of structural bioinformatics. The workshop will focus on lectures and demo/hands-on session on Protein structural modeling, molecular dynamics simulations , molecular docking and structure based drug designing.
Artificial Intelligence: Concepts And Multidisciplinary Applications in Modern Biology
Artificial Intelligence (AI) is an area of multidisciplinary machine intelligence which has immense potential to provide solutions for classification problems in various fields of modern biology- healthcare, medicine, environment, agriculture, to name a few. The workshop is intended to train coordinators, bioinformatics centre staff, post-doctoral fellows and students in bioinformatics (preferably linked to DBT BTISNet centres), who wish to apply Artificial Intelligence and Machine learning in their research