| Type | Name | Participants | Credit | When | Unit staff |
|---|---|---|---|---|---|
| Courses | Statistical Principles In The Analysis of Research Data | 40 | 2 |
2021 |
Ron Rotkopf |
| Data Science with Python for Beginners | 89 | 1 |
2021 |
Ido Azuri | |
| An Introduction to deep-sequencing analysis for biologists | 23 | 3 |
2021 |
Ester Feldmesser, Gil Stelzer, Dena Leshkowitz, Bareket Dassa, Noa Wigoda | |
| Statistical analysis of research data using R | 40 | 2 |
2022 |
Ron Rotkopf | |
| Bioinformatics | 27 | 2 |
2022 |
Shifra Ben-Dor, Irit Orr | |
| Data Science with Python for Beginners | 170 | 1 |
2022 |
Ido Azuri | |
| Essentials of RNA-seq analysis | 23 | 1 |
2022 |
Ester Feldmesser, Dena Leshkowitz, Bareket Dassa, Noa Wigoda | |
| Statistical analysis of research data using R | 40 | 2 |
2023 |
Ron Rotkopf | |
| Analyzing single cell sequencing data | 26 | 1 |
2023 |
Dena Leshkowitz, Bareket Dassa, Ron Rotkopf | |
| Essentials of RNA-seq analysis | 27 | 1.5 |
2023 |
Dena Leshkowitz, Bareket Dassa, Noa Wigoda | |
| Data Science with Python for Beginners | 130 | 1 |
2023 |
Ido Azuri | |
| Analyzing single cell sequencing data | 20 | 1 |
2024 |
Dena Leshkowitz, Bareket Dassa, Ron Rotkopf | |
| Statistical analysis of research data using R | 40 | 2 |
2024 |
Ron Rotkopf | |
| Bioinformatics | 2 |
2024 |
Shifra Ben-Dor, Lena Fidel | ||
| lab courses (invited lecture) | Gene Expression Profiling: Theoretical and practical issues in analysing MARS-Seq data |
2021 |
Dena Leshkowitz, Bareket Dassa | ||
| Real-time PCR: Statistical analysis of PCR results |
2021 |
Ester Feldmesser, Ron Rotkopf | |||
| Gene Expression Profiling: Theoretical and practical issues in analysing MARS-Seq data |
2022 |
Dena Leshkowitz, Bareket Dassa | |||
| Real-time PCR: Statistical analysis of PCR results |
2022 |
Ester Feldmesser, Ron Rotkopf | |||
| Adapting CRISPR-Cas9-derived tools for site-specific genome engineering |
2022 |
Shifra Ben-Dor | |||
| Gene Expression Profiling: Theoretical and practical issues in analysing MARS-Seq data |
2023 |
Bareket Dassa | |||
| Real-time PCR: Statistical analysis of PCR results |
2023 |
Ron Rotkopf | |||
| RAdapting CRISPR-Cas9-derived tools for site-specific genome engineering |
2023 |
Shifra Ben-Dor | |||
| Gene Expression Profiling: Theoretical and practical issues in analysing MARS-Seq data |
2024 |
Bareket Dassa | |||
| Real-time PCR: Statistical analysis of PCR results |
2024 |
Ron Rotkopf | |||
| Labs | Taking part in Sandbox activities: Mars-Seq Bioinformatics training |
2021 |
Dena Leshkowitz, Noa Wigoda, Gil Stelzer, Ester Feldmesser, Bareket Dassa | ||
| Taking part in Sandbox activities: Mars-Seq Bioinformatics training |
2022 |
Dena Leshkowitz, Noa Wigoda, Gil Stelzer, Ester Feldmesser, Bareket Dassa | |||
| Taking part in Sandbox activities: Mars-Seq Bioinformatics training |
2023 |
Dena Leshkowitz, Noa Wigoda, Gil Stelzer, Ester Feldmesser, Bareket Dassa | |||
| Taking part in Sandbox activities: Mars-Seq Bioinformatics training |
2024 |
Dena Leshkowitz, Noa Wigoda, Gil Stelzer, Ester Feldmesser, Bareket Dassa | |||
| Workshops (attended between 15 to 60) | Introduction to Single Cell Sequencing Data Analysis |
2021 |
Dena Leshkowitz, Gil Stelzer, Bareket Dassa , Ron Rotkopf | ||
| Introduction to machine learning classification demonstrated on gene expression data |
2021 |
Elisha Goldstein | |||
| Basic introduction to Linux and the Wexac cluster for bioinformatics |
2021 |
Noa Wigoda, Ester Feldmesser | |||
| Decision trees - machine learning classification models demonstrated on biological data |
2021 |
Elisha Goldstein | |||
| Introduction to BioCyc website tools |
2021 |
Bareket Dassa | |||
| All you need to know about RNA-Seq |
2022 |
Dena Leshkowitz, Noa Wigoda | |||
| Grasping biological insights from RNA-Seq |
2022 |
Noa Wigoda, Bareket Dassa, Ester Feldmesser | |||
| Basic introduction to Linux and the WEXAC cluster for bioinformatics |
2023 |
Noa Wigoda, Ester Feldmesser | |||
| How to submit your sequence data to GEO database |
2023 |
Bareket Dassa | |||
| Interactive Data Visualization and Deployment using Streamlit |
2024 |
Samuel Gelman | |||
| QIAGEN Ingenuity Pathway Analysis for RNA-seq data |
2024 |
Yulia Ryvkin | |||
| Programming Artificial Neural Networks with Tensorflow and Pytorch |
2024 |
Ido Azuri |