Microtubule Meeting UK

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A week long field zoology course at the Field Studies Council centre at Millport on Great Cumbrae island.

A week long field course in Norfolk

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Edinburgh Genomics: Introduction to Python for Biologists

Python is a dynamic, readable language that is a popular platform for all types of bioinformatics work, from simple one-off scripts to large, complex software projects. This workshop is aimed at complete beginners and assumes no prior programming experience. It gives an overview of the language with an emphasis on practical problem-solving, using examples and exercises drawn from various aspects of bioinformatics work. The workshop is structured so that the parts of the language most useful for bioinformatics are introduced as early as possible, and that students can start writing plausibly-useful programs after the first few sessions. After completing the workshop, students should be in a position to (1) apply the skills they have learned to tackling problems in their own research and (2) continue their Python education in a self-directed way.

 Instructor:

Tim Booth

Course Developer:
Dr. Martin Jones (Founder, Python for Biologists)

Workshop format
Five days. See web page for details 

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Overview

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Researchers needing to implement data analysis workflows face a number of common challenges, including the need to organise their tasks, make effective use of compute resources, handle unexpected errors in processing, and document and share their methods. The Snakemake workflow system provides effective solutions to these problems. By the end of the course, you will be confident in using Snakemake to tackle complex workflow problems and in your day-to-day research.

Who this course is for
This course is intended for researchers who need to automate data analysis tasks for biological research involving next-generation sequence data, for example RNA-seq analysis, variant calling, CHIP-Seq, bacterial genome assembly, etc. Attendees must have a working knowledge of how to use the Linux BASH command line - our 1-day "Linux for bioinformatics" course is a suitable background. The language used to write Snakemake workflows is Python-based, but no prior knowledge of Python is required or assumed.

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The ability to identify organisms from traces of genetic material in environmental samples has reshaped the way we see life on earth. Especially for microorganisms, where traditional identification is hard or near impossible, metagenomic techniques have granted us unprecedented insight into the microbiome of animals and the environment more broadly.

Instructors

Urmi Trivedi, Heleen De Weerd

Workshop format

This live online workshop consists of presentations and hands-on tutorials.

Who should attend

Graduates, postgraduates, and PIs, who are using, or planning to use, metagenomic technology in their research and want to learn how to process and analyse the data produced.

Requirements

A general understanding of molecular biology and genomics. A working knowledge of Linux at the level of the Edinburgh Genomics Linux for Genomics workshop.

Event website

PLEASE SIGN UP HERE BEFORE PAYING FOR THIS COURSE

The aim of this course is to introduce participants to the statistical computing language 'R' using examples and skills relevant to biological data science. This online workshop is taught by experienced Edinburgh Genomics’ trainers. By the end of the workshop, you will be comfortable with the basics of the R and R studio environments, learning about the rules of the language and how R works with different data types and structures. We then move on to using functions, introducing a selection of packages for biological data science. Finally, we will learn how to visualise your data to generate publication-ready plots using the package ggplot2.

Instructors

• Frances Turner (Bioinformatician)
• Heleen De Weerd (Bioinformatician)

Workshop format

The workshop consists of presentations and hands-on tutorials.

Who should attend

Undergraduates, Graduates, postgraduates, and PIs, who are using, or planning to use, the statistical software R to manipulate and analyse biological data in their research. This is an introductory level course: no prior experience of R (or any other programming language) is necessary before starting the workshop.

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This course aims to provide an introduction to the principles of short variant discovery (both germline and somatic) from short-read data. We will look at a complete workflow, from data QC to functional interpretation of variant calls. The practical sessions will focus on running the GATK pipeline from the Broad Institute.

Instructors: Frances Turner & the Edinburgh Genomics Bioinformatics Team

Venue: Online

Requirements:

This course is intended for researchers who need to analyse genomic data in order to call genomic variants. Aside from a basic understanding of molecular biology, attendees must have a working knowledge of how to use the Linux BASH command line - our 1-day "Linux for bioinformatics" course is a suitable background.

Event website

PLEASE SIGN UP HERE BEFORE PAYING FOR THIS IN PERSON COURSE

This course will introduce the advantages of PacBio’s 16S rRNA amplicon sequencing and explore the differences between short-read and full-length 16S sequencing in terms of amplicon generation, library preparation, sequencing, data quality and analysis workflows. Particular emphasis will be placed on primer structure and usage for full-length 16S rRNA amplification, different approaches to sample barcoding, including the benefits of PacBio’s Kinnex chemistry for higher throughput studies, and sequence annotation strategies.   

Who this course is for

Graduates, postgraduates, PIs and anyone interested in 16S sequencing.

Participants will gain hands-on experience in preparing full-length 16S rRNA amplicons, conducting sample quality control, pooling samples, as well as performing data quality controls and metagenomics bioinformatics analysis. The course will be taught using high-quality mock microbial DNA community standards, and participants will also have the opportunity to bring up to four of their own extracted DNA samples for full-length 16S amplification, library preparation, sequencing, and analysis. 

Requirements

A basic understanding of molecular biology lab techniques is required. Experienced molecular biology instructors will be available to provide guidance. Familiarity with Linux and R is recommended. If you have limited lab or bioinformatics experience, please indicate this on the registration form so we can accommodate your needs.  

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PLEASE SIGN UP HERE BEFORE PAYING FOR THIS COURSE

Whole-genome sequencing (WGS) has been revolutionised by the development of long-read sequencing technologies in the last few years. Driven in no small part by Oxford Nanopore Technologies (https://nanoporetech.com/), we now have the ability to sequence long (kb+) single-molecule DNA fragments. Although these developments are expected to alleviate numerous computational challenges surrounding genome assembly they also bring some interesting bioinformatics challenges to which we have to adapt in order to get the most from this powerful technology.

This exciting course aims to introduce the principles and practice of long-read genome assembly and analysis using cutting-edge software and best practices tried and tested by our expert bioinformaticians here at Edinburgh Genomics.

Who this course is for

Aside from a basic understanding of molecular biology, attendees must have a working knowledge of how to use the Linux BASH command line - our 1-day "Linux for bioinformatics" course is a suitable background.

Event website

PLEASE SIGN UP HERE BEFORE PAYING FOR THIS IN PERSON COURSE

Single cell RNA-Seq offers many advantages over bulk RNA-Seq, but the richer data produced requires a more complex analysis. In this course we will learn about the advantages of single cell sequencing, and when it may be an appropriate choice, how to perform common types of data analysis, and to spot and deal with potential problems.  We will analyse 10X genomics data with the R package Seurat.

Who this course is for

Graduates, postgraduates, and PIs, who are using, or planning to use, RNA-seq technology in their research and want to learn how to process and analyse RNA-seq data.

Requirements

• A general understanding of molecular biology and genomics.
• A working knowledge of Linux at the level of the Edinburgh Genomics Linux for Genomics workshop.
• A working knowledge of R at the level of Edinburgh Genomics R for Biologists workshop.
  (If you are unsure of how these relate to your coding skills please check the above course pages and look at topics covered)

Event website

PLEASE SIGN UP HERE BEFORE PAYING FOR THIS COURSE

Edinburgh Genomics: Advanced Python for Biologists

Python is a dynamic, readable language that is a popular platform for all types of bioinformatics work. This workshop is aimed at people who already have a basic knowledge of Python. We will look at the parts of the language which are particularly useful in scientific programming. The workshop will use examples drawn from various aspects of bioinformatics work. After completing the workshop, students should be in a position to (1) take advantage of the advanced language features in their own programs and (2) use appropriate tools when developing software programs.

Instructors: Dr. Martin Jones (Founder, Python for Biologists)

Workshop format: Each session consists of a lecture followed by practical exercises. Each session uses examples and exercises that build on material from the previous one, so it’s important to attend all sessions. Description of the sessions can be found on the pdf you receive when signing up.

Who should attend: This workshop is aimed at researchers & technical workers with a background in biology and knowledge of Python.

Requirements

Students should have enough biological/bioinformatics background to appreciate the examples and exercise problems (i.e. they should know what a protein accession number, BLAST report, and FASTA sequence is). Students should be familiar with the use of lists, loops, functions & conditions.

Event website

PLEASE SIGN UP HERE BEFORE PAYING FOR THIS IN Person COURSE

Edinburgh Genomics: RNA Library Preparation Lab Course 

In this course you will learn how to produce directional mRNA sequencing libraries using the NEBNext UltraExpress® RNA Library Prep Kit from NEB, which provides a robust, 1 day work-flow for library production from total RNA. You will get to work on both a high-quality training sample and have the opportunity to bring your own RNA sample for library preparation and sequencing. This course assumes you have a basic level of laboratory experience in a molecular biology lab, although experienced demonstrators will always be on hand to guide you. If you have limited lab experience, please indicate this on the registration form and we will try to accommodate you.

Who should attend: This workshop is aimed at researchers & technical workers with a background in biology who intend to use their skills in a molecular biology lab.

Requirements

That you attend all parts of the course.

Please register here

Edinburgh Genomics: Data Exploration with Python

One of the strengths of the Python language is the availability of mature, high-quality libraries for working with scientific data. In this workshop we will see how to leverage these libraries to efficiently work with and visualise large volumes of data. This course is intended for researchers with Python knowledge who need to explore large datasets and quickly visualise patterns and relationships. We will concentrate on how best to use existing libraries with only a small amount of code! There will be opportunities to use your own data throughout.

Instructor
Dr. Martin Jones (Founder, Python for Biologists)

Workshop format
See web page for details 

Who should attend

See web page for details 

Requirements

See web page for details 

The workshop will now be online.

Event Website