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Metagenomic pathogen detection using MMseqs2, Plass, and Linclust

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52:33

Galaxy for microbiome via ASaiM story - From a local project to a global effort

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34:09

Unifying the microbial known and unknown coding sequence space -

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45:46

EukHeist: Scalable and automated discovery of eukaryotic genomes from a global dataset

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1:15:16

Tweedieverse - A Single Home for Microbiome Multi-omics Differential Analysis

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31:19

Paleogenomic landscape of pathogens in Pre- and Contact individuals from the Americas

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3:35

Introducing Miriam Bravo López - Featured Speaker for the BVCN Virtual Conference 2021

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2:38

Introducing Dr. Martin Steinegger - Featured Speaker for the BVCN Virtual Conference 2021

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3:07

Introducing Dr. Bérénice Batut - Featured Speaker for the BVCN Virtual Conference 2021

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3:32

Introducing Dr. Harriet Alexander - Featured Speaker for the BVCN Virtual Conference 2021

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3:02

Introducing Chiara Vanni - Featured Speaker for the BVCN Virtual Conference 2021

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2:46

Introducing Dr. Himel Mallick - Featured Speaker for the BVCN Virtual Conference 2021

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31:08

Topic: Functional Annotation Lesson 8 Hands-on demonstration of Pseudo-Finder

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22:12

Topic: Functional Annotation Lesson 8 Pseudogene prediction with Pseudo-Finder

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18:11

Topic: Functional Annotation Lesson 7 Hands-on with standalone antiSMASH

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20:31

Topic: Functional Annotation Lesson 7 Predicting Secondary Metabolites with AntiSMASH

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33:13

Topic: Python Lesson 9 Ordination Part 1 - Jaccard & Bray-Curtis

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45:17

Topic: Metagenomics Lesson 9 Hands-on with CheckM

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34:45

Topic: Metagenomics Lesson 9 Bin Evaluation

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39:57

Topic: Transcriptomics Lesson 4

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14:45

Topic: Population Genetics & Genomic Comparison Lesson 3 Phylogenetically Structured Data

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20:50

Topic: R Lesson 8b.2 & Amplicons 5b.2 - Completion of the Ordination Part 2 hands-on tutorial

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31:46

Topic: R Lesson 8b.1 & Amplicons Lesson 5b.1 - Ordination Part 2

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28:04

Topic: Python Lesson 8 Pandas Part 2

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31:21

Topic: R Lesson 8a & Topic: Amplicon Lesson 5a Ordinations Part 1

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26:38

Topic: Python Lesson 7 Introduction to Pandas dataframes

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26:03

Topic: Amplicon Lesson 4 Preparing Output from Amplicon Pipelines for Analysis

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18:09

Topic: Transcriptomics Lesson 3 Tutorial htseq-count demonstration

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20:07

Topic: Transcpritomics Lesson 3 - Read counts with htseq-count

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47:07

Topic: Amplicons Lesson 3b - RStudio + DADA2 (using DECIPHER for taxonomic classification)

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14:20

Topic: Network Science Lesson 1.4 Extended Local Similarity Analysis Method for Time-Series

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17:03

Topic: Python Lesson 6 Live Coding Demo 3

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18:29

Topic: R Lesson 7 Part 2 - Correlations and linear models

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33:18

Topic: Metagenomics Lesson 6 Binning tool Demonstration

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52:32

Topic: Metagenomics Lesson 6 - Binning Metagenome-assembled genomes

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35:05

Topic: R Lesson 7 Part 1 Correlations and linear models

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1:06:58

Topic: Amplicons - Lesson3a Running DADA2 within QIIME2

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18:26

Topic: Functional Annotation Lesson 6 Hands-on Tutorial with KEGG-Decoder

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21:55

Topic: Functional Annotation Lesson 6 - KEGG

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12:27

Topic: Python Lesson 5 Live Code Demo

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21:56

Topic: Pop Gene & Comparative Genomics - Lesson 2 Brief Introduction to the McDonald-Kreitman Test

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13:08

Topic: Network Science Introduction to random networks

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17:31

Topic: Amplicon - Lesson 3 Prerequisite - QIIME2 on CyVerse

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28:11

Topic: Metagenomics Lesson 5 Demo 1

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55:50

Topic: Metagenomics Lesson 5 - Assembly

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54:17

Topic: R Lesson 6 - Plotting bar plots in R

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37:35

Topic: Python Lesson 4 Live Demo

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15:05

Topic: Network Science Time-Lagged Time-Series

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27:22

Topic: Population Genetics Lesson 1 Tutorial - Introduction to PAML

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19:42

Topic: Population Genetic Lesson 1

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26:49

Topic: Python Lesson 3 Hands-on Part 2 - Dictionaries

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22:06

Topic: Python Lesson 3 Hands-on Part 1 Strings and List

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30:08

Topic: Functional Annotation Lesson 5 Tutorial 2

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20:25

Topic: Functional Annotation Lesson 5 Tutorial 1

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39:21

Topic: Basic Unix - Introduction to Conda

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17:27

Topic: Functional Annotation Lesson 5

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52:36

Topic: R Lesson 5 - Introduction to Plotting

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10:06

Topic: Network Science Introduction to clustering with igraph.

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39:19

Topic: R Lesson 4

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30:54

Topic: Metagenomics Lesson 4

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