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Two months Internship 
in the area of 
“Bioinformatics, Genomics, Machine learning, and Big Data Analysis"
May 01 -  June 30, 2021

In this internship, we will provide basics to advanced training of all the tools, techniques, and methodologies scientists are using in the research. After this internship programme, participant will be perfectly ready to start Master's degree/PhD/Postdoctoral research in the area of Bioinformatics, Genomics, Big data analysis, Machine Learning, and other related techniques like Next Generation Sequencing data analysis. This internship programme will provide a platform for faculty and researchers to improve their skills by updating themselves with latest methodologies in the area. We will cover basics to advanced aspects of all the topics mentioned.   


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

Internship Logistics 

Last date of registration: April  30, 2021

Fee: Rs. 2000/- for Indian Participants, $30 (USD) for International Participants.

TimingsSaturdays and Sundays (10:00 AM/02:30 PM/07:00 PM) and Weekdays (7:00 PM). Every session will be 60-90 minutes duration. This is Indian Standard Time e.g. IST.


Click here to check the detailed schedule and time table of the Internship


Certification and other highlights

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

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

  • The entire internship will be online and interactive (~60 Hours).

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

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

Help and Support

Scientific topics covered in the Internship

  1. How to setup your linux system to start bioinformatics work?

  2. Basics Linux commands to start bioinformatics/genomics research.

  3. Advanced linux commands.

  4. Python setup for data analysis.

  5. Advanced python modules/Biopython modules. 

  6. 'R' basics and publication quality graph preparations with R.

  7. Next Generation Sequencing (NGS) data analysis: Data filtering.

  8. Whole Genome Assembly and annotations with NGS datasets.

  9. RNA-Seq data analysis and Identification of Differentially Expressed Genes (DEGs).

  10. Network Biology, Network analysis tools, and Analysis of Biological Networks using Cytoscape.

  11. Microbiome analysis by Amplicon sequencing (Basics to Advanced data analysis).

  12. Metagenomics data analysis with NGS data.

  13. Single Cell Genomics, Single cell-RNAseq data analysis using latest tools.

  14. Exome Sequencing data analysis and calling variants for disease prediction.

  15. Basics of ChIP-Seq, From Sample to Read, Quality Check and data pre-processing, Alignment/Mapping, Peak Calling and analysis, and Visualisation. 

  16. Molecular dynamics (MD) simulations.

  17. Protein-peptide docking.

  18. Structural Biology basics and PDB file handling.

  19. Machine Learning and Artificial intelligence.

  20. Immunoinformatics and epitope designing.

Scientists for this Workshop

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Dr. Surendra Vikram

CEO- Bionomics Research Lab, India


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Dr. Shruti Kapoor

Scientist, ICMR AIIMS Computational Genomics Centre, New Delhi. 


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Dr. Sandeep Kumar Dhanda

Research Scientist, St. Jude Children's Research Hospital, Tennessee, USA


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Dr. Isha Monga

Postdoctoral Research Scientist, Columbia University Medical Centre (CUMC), USA


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Dr. Shailza Singh

Scientist-E, National Centre For Cell Science (NCCS), Pune, India.


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Dr. Abhishek Das

Scientist, All India Institute of Medical Sciences (AIIMS), New Delhi.


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Dr. Manish Datt

Assistant Professor, Ahmedabad University, India


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Dr. Madhumita Bhattacharyya

Post Doc fellow at UNIKA-T, Augsburg, Bavaria, Germany.


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Dr. Firoz Ahmad

Assistant Professor of Bioinformatics and Systems Biology, University of Jeddah, Saudi Arabia.


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Dr. Adarsh Kumar

Postdoctoral Fellow, Florida State University College of Medicine, Florida, USA.