single-cell-transcriptomics

January 16, 2025
in single cell, single-cell-transcriptomics, RNA-seq
2 min read

Course in Italy: scRNA-seq Workshop. An introduction to single cell RNA-seq data analysis

The workshop is suitable for life scientists who are new to single cell gene expression technology data analysis. It is open to PhD and Post-Doc research scientists, as well as team leaders and PIs. This course offers a comprehensive introduction to single-cell RNA sequencing (scRNA-seq) data analysis using open-source tools, with a focus on the rCASC package.

Deadline for applications: 20th January 2025

Course date: 10-12 February 2025

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April 9, 2024
in workshop, Python, single cell, single-cell-transcriptomics
2 min read

Course at Bern, Switzerland: Single-Cell Transcriptomics with Python

This course is addressed to life scientists and bioinformaticians familiar with some next-generation sequencing approaches and plan to use scRNA-seq in their research projects, and who are interested in learning how to navigate and analyze such data.

Registration deadline: 13 May 2024

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January 29, 2024
in workshop, Bioinformatics, R, single-cell-transcriptomics
2 min read

Course at Bern, Switzerland: Single-Cell Transcriptomics with R

Single-cell RNA sequencing (scRNAseq) allows researchers to study gene expression at the single cell level. For example, scRNAseq can help to identify expression patterns that differ between conditions within a cell-type. To generate and analyze scRNAseq data, several methods are available, all with their strengths and weaknesses depending on the researchers’ needs. This 3-day course will cover the main technologies as well as the main aspects to consider while designing a scRNAseq experiment. In addition, it will cover the theoretical background of analysis methods with hands-on practical data analysis sessions applied to droplet-based methods.

Application deadline: 06 March 2024

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