Bioinformatics: LSCF Courses

UTAP2 workshop: User-friendly transcriptome and epigenome analysis pipeline

By: Dena Leshkowitz, Bareket Dassa, and Noa Wigoda
When: Sunday, October 26th, 2025, 9:15-12:00 AM 
Where: Botnar Auditorium, Belfer building 

• Essentials of RNA-seq analysis, First semester, 2024-2025 
• Data Science with Python for Beginners, First semester, 2024-2025
• Phylogenetic Analysis, First semester 2024-2025
• Analyzing single cell sequencing data, Second semester, 2025 
• Statistical analysis of research data using R, Second semester, 2025 

• Analyzing single cell sequencing data, Second semester, 2024 
• Statistical analysis of research data using R, Second semester, 2024 
• Bioinformatics, Second semester, 2024
• Essentials of RNA-seq analysis, First semester, 2024 
• Essentials of RNA-seq analysis, First semester, 2023 (starting 10-Nov-2022)
• Analyzing single cell sequencing data,second semester, 2023 (starting 20-Apr-2023)
• Statistical analysis of research data using R, second semester, 2023 (starting 18-Apr-2023)
• Data Science with Python for Beginners, second semester, 2023 (starting 29-May-2023)
• Statistical analysis of research data using R, Spring semester, 2022 (starting 27-Mar-2022)
• Bioinformatics, Spring semester, 2022 (starting 27-Mar-2022)
• Data Science with Python for Beginners, Spring semester (starting 6-June-2022)
• An Introduction to deep-sequencing analysis for biologists, Fall semester, 2021 (starting 24-Oct-2021)
• Data Science with Python for Beginners, Spring semester (starting 24-May-2021)
• Statistical analysis of research data using R, Spring semester, 2021 (starting 23-Mar-2021)
• Statistical Principles In The Analysis Of Research Data, Spring semester, 2020 (starting 25-Mar, 2020)
• Data Science with Python for Beginners, Spring semester, 2020 (starting 11-May, 2020)
• An Introduction to deep-sequencing analysis for biologists, First semester, 2020
• Bioinformatics, Spring semester, 2019 (starting 25-Mar, 2019)
• Statistical Principles In The Analysis of Research Data, Spring semester, 2019 (starting 27-Mar, 2019)
• Bioinformatics Analysis of Next Generation Sequence (NGS) Data, First semester (starting on 8-Nov, 2018)
• An Introduction to deep-sequencing data analysis, 17-27 June, 2018
• Statistical principles in the analysis of research data, Spring semester, 2018
• Statistical Principles in the Analysis of Research Data, spring 2017
• An Introduction to Deep-Sequencing Data Analysis, Spring 2017
• Statistical Principles in the Analysis of Research Data (spring semester, 2016, Thursday, 11:15-13:00)
• An Introduction to Deep-Sequencing Data Analysis (13-17.3.2016, 09:00-14:30)
• FGS Lab course:An Introduction to Deep-Sequencing Data Analysis (21-25.06.2015 09:00-14:30)
• FGS Lab Course:Practical Image Analysis for Biology (2015)
• Statistical Principles in the Analysis of Research Data (Spring 2015)
• Practical Image Analysis for Biology (Fall semester, 2016)

• 31-July-2025: Ambient RNA Correction in single cell analysis  
• 15-Sep-2024: Introduction to RNA splicing analysis using MAJIQ and Voila
• 19-August-2024: Pandas Library Beginners Workshop for Python Users
• 2-April-2024: QIAGEN Ingenuity Pathway Analysis for RNA-seq data,
• 23-Sep-2023: How to submit your sequence data to GEO database
• 16-Aug-2023: Basic introduction to Linux and the WEXAC cluster for bioinformatics
• 9-Aug-2023: Basic introduction to Linux and the WEXAC cluster for bioinformatics
• 1-Aug-2022: Grasping biological insights from RNA-Seq
• 3-May-2022: All you need to know about RNA-Seq
• 7-July-2021: Introduction to BioCyc website tools
• 30-Jun-2021: Decision trees - machine learning classification models demonstrated on biological data
• 22-Jun-2021: Basic introduction to Linux and the Wexac cluster for bioinformatics
• 24-Mar-2021: Introduction to machine learning classification demonstrated on gene expression data
• 4-Jan-2021: Introduction to Single Cell Sequencing Data Analysis
• 26-Oct-2020: Machine Learning and Deep Learning with Sklearn and TensorFlow Python Packages
• 28-Jul-2020: The GeneCards Suite
• 6-Jul-2020: UTAP: User friendly Transcriptome Analysis Pipeline
• 25-Jun-2020: A brief technical training on bioinformatic pipeline for MARS-seq sandbox
• 8-Mar-2020: Gene Set Enrichment Analysis (GSEA) – a tool for understanding the biology beyond high
• 1-Mar-2020: CRIPSR Design
• 23-Feb-2020: Introduction to R
• 19-Jan-2020: Basic introduction to Linux and the Wexac cluster for bioinformatics
• 29-Dec-2019: Expander workshop
• 9-Sep-2019: Introducing UTAP: User-friendly Transcriptome Analysis Pipeline
• 16-Jul-2019: A Workflow of Machine Learning Project via Examples: Classification and Regression
• 14-Apr-2019: Machine Learning and its applications in Bioinformatics
• 24-Feb-2019: The Genomatix Software
• 3-Feb-2019: UCSC Genome Browser
• 20-Jan-2019: Introduction to R
• 6-Jan-2019: CRISPR Design
• 31-Dec-2018: The GeneVestigator Software
• 23-Dec-2018: Introduction to Linux and the Wexac cluster for NGS analysis
• 28-Nov-2018: BioCyc website tools
• 15-Oct-2018: Introducing UTAP: User-friendly Transcriptome Analysis Pipeline
• 18-Jul-2018: Hands-on: ATAC-seq analysis
• 6-Jun-2018: Introduction to Linux and the Wexac cluster for NGS analysis
• 23-May-2018: The GeneCards Suite – databases and tools for deciphering NGS data
• 2-May-2018: CRISPR design workshop
• 13-Mar-2018: Clustering and plotting using the Partek software
• 14-Feb-2018: Introducing UTAP: User-friendly Transcriptome Analysis Pipeline
• 7-Feb-2018: Introduction to R
• 9-Jan-2018: CRISPR design workshop
• 2-Jan-2018: UCSC genome browser
• 1-Nov-2017: New adventures with Nanopore sequencing
• 12-30-Sep-2017: Bioinformatics Workshops for PIs only
• 5-Sep-2017: The GENEVESTIGATOR® Software
• 26-July-2017: Ingenuity: Discovering biology with a flexible pathway analysis tool (For Vertebrates)
• 18-June-2017: CRIPSR Design Workshop
• 3-May-2017: Unix simplified for beginners
• 5-7-May-2017: R based advanced methods for deep sequencing analysis
• 6-Feb-2017: Graphs and Plots in R
• 2-Jan-2017: Linux for beginners
• 15-Nov-2016: Ingenuity workshop
• 7-Nov-2016: Introduction to R
• 1-31-Sep-2016: Python Programming
• 15-Sep-2016: ChIP-Seq: Using Deep Sequencing to Discover Protein-DNA Interactions
• 29-March-2016:Visualization and clustering with Partek
• 17-Feb-2016: CRIPSR Design Workshop
• 20-Jan-2016: Learn How to Detect Differentially Expressed Genes from RNA-Seq Data
• 30-Dec-2015: Python programming workshop
• 23-Dec-2015: Graphs and plots in R
• 16-Dec-2015: Ingenuity: Discovering biology with a flexible pathway analysis tool (For Vertebrates)
• 2-Dec-2015: CRIPSR Design Worksho
• 25-Nov-2016: Learn How to Detect Differentially Expressed Genes from RNA-Seq Data
• 31-May-2015: CRIPSR Design Workshop
• 17-May-2015: Population structure workshop
• 10-May-2015: ChIP-Seq: Using Deep Sequencing to Discover Protein-DNA Interactions