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ONLINE COURSE – Introduction to Metabarcoding and Metagenomics Analysis (IMAM01) This course will be delivered live

7 October 2024 - 10 October 2024

£480.00
ONLINE COURSE – Introduction to Metabarcoding and Metagenomics Analysis (IMAM01) This course will be delivered live

Event Date

Monday, October 7th, 2024

COURSE FORMAT

This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential.

TIME ZONE

TIME ZONE – GMT (Edinburgh Local Time) – however all sessions will be recorded and made available allowing attendees from different time zones to follow.

About This Course

Metabarcoding and metagenomics study genetic material recovered from environmental samples. Both methods provide a comprehensive view of microbial communities which are present in various ecosystems. 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, metagenomic techniques have granted us unprecedented insight into the microbiome of animals and the environment more broadly

Metabarcoding and metagenomics are both methods to study the composition of these complex communities. Where metabarcoding focusses on looking at a single or a combination of marker genes,  metagenomics looks into everything within a community.

During this course we will look at the differences and similarities between these two methods. We explain how to process the data using both short and long reads data, we take a look at the pros and cons and some of the pitfalls. We will guide you through the different approaches to take when processing the data and walk you through using some of the tools which are considered to be golden standard in the field. You will have hands on experience processing real data.

By the end of the course, participants should:

  • Understand the basic concepts behind metabarcoding and metagenomics
  • Work with both short and long read data for both metabarcoding and metagenomics
  • Be able to use Qiime2 and NanoClust for analysis of metabarcoding
  • Know different methods (metaphlan, humann) for marker based taxonomic and functional annotation of metagenomics data
  • Create and annotated metagenome assembled genomes (using megahit, checkm, gtdb-tk)
  • Be able to annotated antibiotic resistance genes in metagenomics data
Intended Audiences

Academics and post-graduate students working on projects related to complex communities and applied researchers and analysts in public, private or third-sector organizations who need the reproducibility, speed and flexibility of a command-line language

Venue

Delivered Remotely

Course Details

Availability – 25

Duration – 4 days

Contact hours – Approx. 22 hours

ECT’s – Equal to 2 ECT’s

Language – English

Teaching Format

Intermediate-level lectures interspersed with hands-on mini practicals. Access to Linux VM and data sets for practicals will be provided by the instructors. Time will be available during the course for participants to ask questions regarding their own projects.

Assumed quantitative knowledge

Some familiarity of metagenomics will be helpful.

Assumed computer background

Good familiarity with Linux will be helpful.

Equipment and software requirements

COMING SOON…

Tickets

The numbers below include tickets for this event already in your cart. Clicking "Get Tickets" will allow you to edit any existing attendee information as well as change ticket quantities.
IMAM01 ONLINE
IMAM01 ONLINE
£ 480.00
Unlimited

PLEASE READ – CANCELLATION POLICY

Cancellations/refunds are accepted as long as the course materials have not been accessed,.

There is a 20% cancellation fee to cover administration and possible bank fess.

If you need to discuss cancelling please contact oliverhooker@prstatistics.com.

If you are unsure about course suitability, please get in touch by email to find out more oliverhooker@prstatistics.com

COURSE PROGRAMME

Day 1 Classes from 10:00 – 15:30
Metabarcoding
• Data QC and preprocessing of short reads metabarcoding
• Filtering, denoising and assiingment of taxonomy using Qiime2
• Align sequencing and build phylogenetic tree
• Calculate alpha and beta diversity
• Introduction into ANCOM-BC
• Long read 16S

Day 2 Classes from 10:00 – 15:30
Short read metagenomics
• Host removal using KneadData
• Taxonomic profiling using MetaPhlan
• Functional profiling using HumanN
• Antibiotic resistance gene screening

Day 3 Classes from 10:00 – 15:30
Short read metagenomics
• Metagenome assembly using megahit
• Contigs binning and generation of metagenome assembled genomes (MAGs)
• De-replication of MAGs
• Taxonomic classification of MAGs using GTDB-Tk

Day 4 Classes from 10:00 – 15:30
Long read metagenomics
• Long reads metagenomics using the DIAMOND-MEGAN pipeline
• Data QC and preprocessing of long reads
• Metagenome assembly using metaFlye
• Functional annotation using Prokka

Course Instructor

EDINBURGH GENOMICS

Heleen De Weerd
Heleen De Weerd
Heleen de Weerd has been a bioinformatician since 2010, accumulating experience in both industry and academia and working with people from different backgrounds.
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Her expertise spans a wide array of topics with a special interest in genomic and the analysis of highly diverse samples. Since joining Edinburgh Genomics, Heleen has focused on advancements in both short and long reads technologies and application of both to different research questions. She is passionate about sharing her experiences and helping people start their journeys with their data.
Urmi Trivedi
Urmi Trivedi
Urmi has been working as a Bioinformatician in research support role at Edinburgh Genomics, a sequencing facility within The University of Edinburgh, since 16 years.
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She is now leading the Bioinformatics team for almost three years, overseeing a group of experts who are integral to the success of over 100 projects annually.The facility, equipped with cutting-edge sequencing platforms, is at the forefront of genomic research, and Urmi’s team plays a critical role in ensuring the highest standards of data quality and analysis, both for in-house and external projects. Urmi is also a passionate educator, actively involved in designing and delivering training programs that empower the next generation of bioinformaticians. Her area of expertise is Genome assembly, Genome annotation, Metagenomics and metabarcoding.
Dr Kathryn Campbell
Dr Kathryn Campbell

Kathryn recently joined the Edinburgh Genomics team as the Genomics and Bioinformatics Training Coordinator. With a diverse background in bioinformatics and molecular biology, she specializes in phylogenetics and viral classification.

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Her passion now lies in teaching and outreach, where she brings extensive experience, engaging with a broad range of audiences. Kathryn is dedicated to empowering learners through comprehensive training, from sample preparation and sequencing to data analysis and interpretation. She is also committed to inspiring the next generation of biologists by working with primary and secondary schools to foster a love for science and genomics.

Details

Start:
7 October 2024
End:
10 October 2024
Cost:
£480.00
Event Categories:
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Tickets

The numbers below include tickets for this event already in your cart. Clicking "Get Tickets" will allow you to edit any existing attendee information as well as change ticket quantities.
IMAM01 ONLINE
IMAM01 ONLINE
£ 480.00
Unlimited