simeonhebrew / bioinformatics-internship Goto Github PK

• Finishing a mini-project

• Genomic data analysis reproducibility

• Genomic data management

• Project Management

• Linux

• Unix

• HPC and Cloud Computing

• Slack

• GitHub

Hello! 😃

With a goal of becoming competent in computational biology, I will need to follow a series of steps so as to systematically gain exposure to the skillset that one requires to comfortably design and operate bioinformatics pipelines and workflows.

Feel free to check my READMe file if you are yet to look at it!

How do I get there?

This issue is a roadmap all the training themes which I will undergo so as to be able to achieve my long-term and short-term visions.

Milestone : Learning Collaborative Tools

Use Slack and GitHub efficiently

Milestone : Learning Elements of Genomics

Carry out project management as well as understanding Linux, Unix and Cloud Computing.

Milestone: Understanding Open Science

Learning genomic data analysis reproducibility and managing genomic data.

Milestone : Understanding The Principles of Bioinformatics

Learning and practising different bioinformatics protocols such as sequence alignment, phylogenetics and navigating biological databases.
Scripting in Python and R for reproducible scientific analysis.

MIlestones : Participating in a Mini-Project

Applying all the skills attained and retained in a mini-project under supervision.

• Sequence Alignment

• Phlylogenetics

• Biological Databases

• Python

• R

• Test

• This will be done by creating repos, editing them, allowing others to contribute and merging pull requests so as to familiarize myself with the software. It will also involve forking other authors' repos and trying to edit them.

Learning how the entire Slack interface works and using it to communicate often