Week 1

• Onboarding and general overview of MBBU
• Introduction to collaborative documents - Slack
• Introduction to GitHub
• Purpose roadmap, objectives and goals
• Data management and reproducible tools

Week 2

• Introduction to Unix
• Shell Scripting and Personality & Motivation
• Intro to Bioinformatics and Leadership/Leadeship attributes/LeadershipStyles
• Intro to NGS: Sequencing and file formats
• Git on the commandline and Communication and presentation skills

Week 3

• Python scripting
• Introduction to Python and Reproducible research tools (Miniconda, Jupyter and Rmarkdown)
• More python
• More python
• Interns presentation on a topic of interest and Feedback and conflict resolution

Week 4

• Nextflow, Singularity & Docker and Career planning and peer mentoring
• Nextflow & Docker
• Nextflow & Docker
• Phylogenetics
• Introduction to HPC

Week 5

• Intro to R
• Introduction to Data Science and Machine Learning
• Introduction to Data Science and Machine Learning
• Introduction to Data Science and Machine Learning
• Soft Skills:
  • Cover letter (motivation) and CV writing: make a mock application to EANBiT
  • Presentation skills
  • Mock interview

Week 6 & Week 7

Work on reproducing a paper

Week 8 onwards,

The interns will be assigned to a range of mini projects which the will work on to build on different skills acquired from week 1 to week 7.

Notes

1. The interns will be expected to attend other adhoc trainings organized by MBBU or other organization which are deemed important for their growth.
2. The interns will self organize every day stand up meeting and make a presentation of a new concept learned within the Bioinformatics space.
3. The interns will be expected to participate in journal club and Monday morning meetings.
4. There shall be a code/progress review every Friday of the week.
5. The interns will be expected to write a mid-internship and end of intership reports documenting their journey.

Evaluation

• Pre Internship Survey
• Post Internship Survey