ONLINE COURSE – Metabarcoding Pipelines for Eukaryotic Communities
https://www.prstats.org/course/metabarcoding-pipelines-for-eukariotic-communities-mpec01/
Instructor - Dr. Adrià Antich
21st - 25th October 2024
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COURSE OVERVIEW - Metabarcoding has emerged as a pivotal technique, rapidly expanding and revolutionizing the way we study biodiversity. From soil samples to aquatic environments, metabarcoding provides insights into the diverse array of organisms present, offering crucial information for conservation efforts and ecological research. However, metabarcoding encounters intrinsic biases inherent in its methodology. Metabarcoding pipelines are designed to mitigate these biases, and this course will offer insights into optimizing these pipelines for accurate and reliable results. With new techniques continuously evolving, we’ll explore methodologies geared towards unraveling both inter and intra-species diversity while addressing the common challenges encountered in a methodology. Additionally, we’ll navigate the landscape of methods enabling comprehensive biodiversity assessments, alongside showcasing new machine learning approaches for inferring ecological quality status. This course will focus on the MJOLNIR3 pipeline and its theoretical framework. This R package is based on eight simple functions divided into four different blocks. For each function, a comprehensive description of the process will be provided, including alternatives from other pipelines and their basic command line usage.
By the end of the course, participants will:
- Gain a comprehensive understanding of the theoretical foundations underpinning metabarcoding pipelines.
- Develop the ability to identify potential biases and effectively apply specialized software to mitigate them.
- Acquire proficiency in working across three distinct levels of coding requirements, encompassing command-line operations and graphical user interface packages.
- Demonstrate a thorough comprehension of basic biodiversity analysis techniques, spanning inter and intra-species levels.
Please email oliverhooker@prstatistics.com with any questions.
Upcoming courses
ONLINE COURSE – Using Google Earth Engine in Ecological Studies (GEEE01) This course will be delivered live
ONLINE COURSE – Reproducible and collaborative data analysis with R (RACR03) This course will be delivered live
ONLINE COURSE – Multivariate Analysis Of Ecological Communities Using R With The VEGAN package (VGNR06) This course will be delivered live
ONLINE COURSE – Hidden Markov Models for movement, acceleration and other ecological data – an introduction using moveHMM and momentuHMM in R (HMMM01) This course will be delivered live
ONLINE COURSE – Time Series Analysis and Forecasting using R and Rstudio (TSAF01) This course will be delivered live
ONLINE COURSE – Remote sensing data analysis and coding in R for ecology (RSDA01) This course will be delivered live
ONLINE COURSE – Introduction to Metabarcoding and Metagenomics Analysis (IMAM01) This course will be delivered live
ONLINE COURSE – Bioacoustics Data Analysis using R and Studio (BIAC04) This course will be delivered live
ONLINE COURSE – Metabarcoding Pipelines for Eukaryotic Communities (MPEC01) This course will be delivered live
ONLINE COURSE – Genome Assembly and Annotation (GAAA01) This course will be delivered live
IN PERSON COURSE – Hierarchical modelling in ecology (HMIE01) (Université de Sherbrooke, Canada)
ONLINE COURSE – Introduction to Machine Learning using R and Rstudio (IMLR02) This course will be delivered live
ONLINE COURSE – Introduction to Single Cell Analysis (ISCA01) This course will be delivered live
ONLINE COURSE – Species Distribution Modelling With Bayesian Statistics Using R (SDMB06) This course will be delivered live
Tuturialtag is reserved for posts that show how to do something.Eukaryotes is spelled with a y, not an i. I've fixed your post this time.