Upcoming Workshops
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How to submit your sequence data to GEO database: September 23rd 2023
Upcoming Lectures
Given Courses
- 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)
Given Workshops
- 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