Introduction to Metagenomic Data Analysis workshop, May 16 -18 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, Bioinformatician, Edinburgh Genomics Nathan Medd, Training and Outreach Manager, Edinburgh Genomics (demonstrator) 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. Content In this course we will cover the following topics: Data QC and Preprocessing of short reads Taxonomic profiling using MetaPhlAn3 Functional profiling using HUMAnN3 Metagenome assembly using short reads using megahit Contigs binning and generation of metagenome assembled genomes (MAGs) Quality assessment of MAGs using CheckM De-replication of MAGs Taxonomic classification with GTDB-Tk Data QC and Preprocessing of long reads Metagenome assembly using long reads (Oxford Nanopore) using metaFlye Polishing long read assembly with Marginpolish , HELEN and Racon Assess the quality of assemblies using QUAST and IDEEL Related Links Edinburgh Genomics May 16 2022 11.00 - May 18 2022 16.00 Introduction to Metagenomic Data Analysis workshop, May 16 -18 Learn more about the metagenomic techniques that have given us unprecedented insight into the microbiome of animals and the broader environment. Register here
Introduction to Metagenomic Data Analysis workshop, May 16 -18 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, Bioinformatician, Edinburgh Genomics Nathan Medd, Training and Outreach Manager, Edinburgh Genomics (demonstrator) 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. Content In this course we will cover the following topics: Data QC and Preprocessing of short reads Taxonomic profiling using MetaPhlAn3 Functional profiling using HUMAnN3 Metagenome assembly using short reads using megahit Contigs binning and generation of metagenome assembled genomes (MAGs) Quality assessment of MAGs using CheckM De-replication of MAGs Taxonomic classification with GTDB-Tk Data QC and Preprocessing of long reads Metagenome assembly using long reads (Oxford Nanopore) using metaFlye Polishing long read assembly with Marginpolish , HELEN and Racon Assess the quality of assemblies using QUAST and IDEEL Related Links Edinburgh Genomics May 16 2022 11.00 - May 18 2022 16.00 Introduction to Metagenomic Data Analysis workshop, May 16 -18 Learn more about the metagenomic techniques that have given us unprecedented insight into the microbiome of animals and the broader environment. Register here
May 16 2022 11.00 - May 18 2022 16.00 Introduction to Metagenomic Data Analysis workshop, May 16 -18 Learn more about the metagenomic techniques that have given us unprecedented insight into the microbiome of animals and the broader environment.
