Fotis E. Psomopoulos

Affiliations

Contributions

The following list includes only slides and tutorials where the individual or organisation has been added to the contributor list. This may not include the sum total of their contributions to the training materials (e.g. GTN css or design, tutorial datasets, workflow development, etc.) unless described by a news post.

6 Editorial Roles

This contributor has taken on additional responsibilities as an editor for the following topics. They are responsible for ensuring that the content is up to date, accurate, and follows GTN best practices.

• Topic: Foundations of Data Science
• Topic: ELIXIR
• Learning Pathway: From R to Machine Learning; an introductory course
• Learning Pathway: Gallantries Grant - Intellectual Output 1 - Introduction to data analysis and -management, statistics, and coding
• Learning Pathway: Gallantries Grant - Intellectual Output 5 - Train-the-Trainer and mentoring programme
• Learning Pathway: Train the Trainers

25 Tutorials

• Teaching and Hosting Galaxy training / Train-the-Trainer: putting it all together ✍️
• Teaching and Hosting Galaxy training / Motivation and Demotivation ✍️
• Teaching and Hosting Galaxy training / Assessment and feedback in training and teachings ✍️
• Teaching and Hosting Galaxy training / Live Coding is a Skill ✍️
• Teaching and Hosting Galaxy training / Hybrid training ✍️
• Teaching and Hosting Galaxy training / Training techniques to enhance learner participation and engagement ✍️
• Teaching and Hosting Galaxy training / Asynchronous training ✍️
• Teaching and Hosting Galaxy training / Teaching online ✍️
• Teaching and Hosting Galaxy training / Teaching experiences ✍️
• Foundations of Data Science / Variant Calling Workflow ✍️ 🧐
• Foundations of Data Science / Version Control with Git 📝
• Foundations of Data Science / R basics in Galaxy 📝
• Foundations of Data Science / Advanced R in Galaxy ✍️
• Foundations of Data Science / Plotting in Python ✍️
• Foundations of Data Science / Advanced Python ✍️
• Foundations of Data Science / Introduction to Python ✍️
• Contributing to the Galaxy Training Material / Design and plan session, course, materials ✍️
• Contributing to the Galaxy Training Material / Principles of learning and how they apply to training and teaching ✍️
• Microbiome / Binning of metagenomic sequencing data ✍️
• Statistics and machine learning / Introduction to Machine Learning using R ✍️
• Statistics and machine learning / Regulations/standards for AI using DOME ✍️
• Transcriptomics / RNA-seq Alignment with STAR 📝
• Transcriptomics / RNA Seq Counts to Viz in R ✍️
• Using Galaxy and Managing your Data / RStudio in Galaxy ✍️

1 Slide

• Statistics and machine learning / Regulations/standards for AI using DOME ✍️

6 Video Recordings

• Transcriptomics / Introduction to Transcriptomics 🗣
• Foundations of Data Science / R basics in Galaxy 🗣
• Foundations of Data Science / Advanced R in Galaxy 🗣
• Statistics and machine learning / Introduction to Machine Learning using R 🗣
• Transcriptomics / RNA Seq Counts to Viz in R 💬 🗣

1 Event

• My Training Event Title 🧑‍🏫

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GitHub Activity

github Issues Reported

6 Merged Pull Requests

See all of the github Pull Requests and github Commits by Fotis E. Psomopoulos.

• Fixed topic and name links
  template-and-tools
• Create an ML Learning Path
  template-and-tools
• Updated material based on feedback received
  work-in-progress
  contributing
  teaching
• Intro to ML using R
  statistics
• Restructure of R-lessons + release
  work-in-progress
  introduction
  transcriptomics
  new tutorial

Reviewed 1 PRs

We love our community reviewing each other's work!

• New Tutorial Variant Calling (shell commands)

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