Detailed information about the course

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Title

Metabarcoding Pipeline Building (mothur & R)

Dates

rescheduled later in 2020 (20-24 April 2020)

Lang EN Workshop language is English
Organizer(s)

Rachel Korn, UNIFR
Dr Magdalena Steiner, Agroscope, Wädenswil

Speakers

Prof. Dr. Gerhard Thallinger, Technical University of Graz, AT
Rachel Korn, UNIFR
Dr Magdalena Steiner, Agroscope, Wädenswil

Description

 

THE COURSE HAS BEEN POSTPONED.

 

THE NEW DATES WILL BE ANNOUNCED LATER DURING THE YEAR.

 

Metabarcoding is a rapidly evolving technique that identifies DNA from a set of often unknown organisms and reveals microbial communities in unprecedented taxonomical resolution by using universal PCR primers and high-throughput sequencing. It increasingly gains importance in almost all fields of biological and medical sciences. Its wide application range includes biodiversity assessment and monitoring, diet analysis, reconstruction of paleocommunities and more. The processing of metabarcoding data requires a broad range of skills at the interface of molecular biology, bioinformatics, biostatistics and biology/ecology.

In this workshop the participants will be introduced to the workflow of microbiome research targeting the 16S and 18S rRNA gene: preceded by an overview of the full process, this course is aimed at the analysis of high-throughput sequencing data with open-source and cross-platform software (mothur and R/bioconductor packages) from the raw reads to the visualization of results. Theoretical content will be visualized and strengthened by practical exercises. Participants will practice during the workshop on prepared data sets.

 

Prior requirements

A basic statistic knowledge as well as basic skills in R are a precondition for this workshop. The participants are required to bring their own notebooks with the software already installed. For this, a Docker image containing all necessary software will be provided to guarantee architecture and version control.

 

Program

20 to 24 April 2020, 9:00 to 12:00 and 13:30 to 17:00

 

Schedule (preliminary)

 

Introduction to metabarcoding

 

  • DNA extraction
  • Internal controls (positive, negative)
  • Primer choice (16S, 18S, ITS…)
  • NGS technologies (Illumina, IonTorrent, PacBio)
  • Sequencing variants, data formats
  • FASTQ format
  • Reference databases (SILVA, greengenes, PR2, …)
  • Amplicon sequence variants (ASV/ESV) vs. operational taxonomic units (OTU)

 

Quality control

  • Visualization, trimming and filtering (dada2)

 

Pipeline: OTU construction (mothur)

  • Read merging/contigs assembly
  • Alignment to reference database (SILVA)
  • Pre-clustering
  • Chimera detection
  • Singleton filtering
  • Distance matrix
  • OTU clustering, generation and classification (taxonomy, methods)

 

Pipeline: ASV construction (dada2)

  • Denoising (sample-wise error rate)
  • Read merging/contigs assembly
  • Chimera detection
  • Taxonomy assignment (SILVA, DECIPHER)

 

Analysis (R, main packages: phyloseq & vegan)

  • BIOM format
  • Analysis approaches: OTU/ASV vs. phylogeny
  • Preprocessing & vizualisation (absolute, relative, rank abundance)
  • Taxonomic filtering
  • Rarefaction
  • Community composition (α-, β- and γ-diversity, diversity indices...), multivariate analysis (ordination)
  • Differentially abundant OTUs/ASVs
  • LefSe (Linear discriminant Effect Size analysis)
  • Procrustes

 

Location

UNIFR, Boulevard de Pérolles 90, building 21/22, rooms G314 & G514

Evaluation

Full attendance and active participation.

Make sure to sign the attendance list each and every day!

Information

 

The course is organized in collaboration with the CUSO Microbiology, CUSO StarOmics and UNINE Organismal Biology Doctoral Programs.

16 places in total (4 for each program)

 

Prior requirements

A basic statistic knowledge as well as basic skills in R are a precondition for this workshop. The participants are required to bring their own notebooks with the software already installed. For this, a Docker image containing all necessary software will be provided to guarantee architecture and version control.

 

 

Expenses

Reimbursement:

PhD students of StarOmics are eligible for reimbursement of incurred travel expenses by train (half-fare card, and 2nd class). Please send the original tickets along with the reimbursement form to:

Corinne DentanUNIL
CIG
Le Génopode
1015 Lausanne

NO reimbursement of your meal expenses

Regarding reimbursement of accommodation, please contact the coordinator of the doctoral program (staromics(at)cuso.ch) BEFORE the beginning of the course. NO reimbursement of accommodation without the coordinator of the doctoral program agreement prior of the course.

Places

16

Deadline for registration
Joint activity joint
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