News:scRNA-seq data analysis Workshop in Berlin

Question

[carlopecoraro2]

Workshop: Analysis of single cell RNA-seq data

https://www.physalia-courses.org/courses-workshops/course18/

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Berlin, 25 February-1 March 2019

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Botanischer Garten und Botanisches Museum Berlin/Freie Universität Berlin Königin-Luise-Straße 6-8

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INSTRUCTORS from the Regev lab https://www.broadinstitute.org/regev-lab

Dr. Orr Ashenberg (Broad Institute of MIT and Harvard)

Dr. Dana Silverbush (Broad Institute of MIT and Harvard)

Dr. Kirk Gosik (Broad Institute of MIT and Harvard)

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Course overview

In recent years single-cell RNA-seq (scRNA-seq) has become widely used for transcriptome analysis in many areas of biology. In contrast to bulk RNA-seq, scRNA-seq provides quantitative measurements of the expression of every gene in a single cell. However, to analyze scRNA-seq data, novel methods are required and some of the underlying assumptions for the methods developed for bulk RNA-seq experiments are no longer valid. In this course we will cover all steps of the scRNA-seq processing, starting from the raw reads coming off the sequencer. The course includes common analysis strategies, using state-of-the-art methods and we also discuss the central biological questions that can be addressed using scRNA-seq.

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Target Audience & Assumed Background

This course is aimed at researchers and technical workers who are or will be analyzing scRNA-seq data. The material is suitable both for experimentalists who want to learn more about data-analysis as well as computational biologists who want to learn about scRNASeq methods. Examples demonstrated in this course can be applied to any experimental protocol or biological system.

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The requirements for this course are:

1. Working knowledge of unix (managing files, running programs)
2. Programming experience in R (writing a function, basic I/O operations, variable types, using packages).
3. Bioconductor experience is a plus.
4. Familiarity with NGS data and its analyses (using alignment and quantification tools for bulk sequencing data)

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Teaching Format

The course will be delivered over the course of five days. Each day will include a lecture and laboratory component. The lecture will introduce the topics of discussion and the laboratory sessions will be focused on practical hands-on analysis of scRNA-seq data. These sessions will involve a combination of both mirroring exercises with the instructor to demonstrate a skill as well as applying these skills on your own to complete individual exercises. After and during each exercise, interpretation of results will be discussed as a group. Computing will be done using a combination of tools installed on the attendees laptop computer and web resources accessed via web browser.

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EXAMPLE DATA

Please find example datasets here: https://support.10xgenomics.com/single-cell-gene-expression/datasets

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Please visit our website to have more information about the course content: https://www.physalia-courses.org/courses-workshops/course18/

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Here is the full list of our courses and Workshops: https://www.physalia-courses.org/courses-workshops/

Should you have any questions, please do not hesitate to contact us :[e-mail]

Best regards,
Carlo

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Carlo Pecoraro, Ph.D
Physalia-courses DIRECTOR
[e-mail]
http://www.physalia-courses.org/
Twitter: @physacourses
mobile: [phone]
https://groups.google.com/forum/#!forum/physalia-courses

Answer 1

[Eric Normandeau]

I highly encourage people to look for Physalia courses on subjects that interest them. I have personally attended the Assembly of Genomes course in Berlin, which was excellent, and we are currently hosting two Physalia courses in Canada (a first!) on Population Genomics and eDNA Metabarcoding.