OMICS – Introduction to data types and properties
In the first session of the Omics 2020 Data Science, we will discuss: Overview of commonly used “omics” data NGS, Mass-Spec, phenotypic data (genomics,...
Hands-on session: Analysis of Genomes on NCBI virus
In the tenth session of the Genomics in the Virtual Lab Program, we will learn about the following: Finding and alignment of full genomes...
Vaccines antibiotics & antiviral drugs
In the ninth session of the Genomics in the Virtual Lab Program, we will learn about the following: Bacterial and human metabolic pathways Viral...
Gut Microbiome: Microbial communities
In the eighth session of the Genomics in the Virtual Lab Program, we will learn about the following: Bacterial genomes and the 16s ribosomal...
Genomics in virology
In the seventh session of the Genomics in the Virtual Lab Program, we will learn about the following: Identifying viral species and strains Comparative...
Literature review & Project Design
In the sixth session of the Genomics in the Virtual Lab Program, we will learn about the following: Bioinformatics Data sources (Virology Resources) Literature...
ML in production – getting results with ML
In the tenth session of the Omics 2020 Data Science, we will discuss: The interaction between artificial intelligence and human Differences between ML and AI...
Resources, Review, and Activities
In the fifth session of the Genomics in the Virtual Lab Program, we will learn about the following: Review of week 1 Special Guest...
Model accuracy and validation (evaluation of accuracy from a computational and biological standpoint)
In the ninth session of the Omics 2020 Data Science, we will discuss: Technical accuracy (ROC curve) Logical or biological relevance (compare feature selection with...
Hands-on Session 2: Mutations and 3D Structures
In the fourth session of the Genomics in the Virtual Lab Program, we will learn about the following: Sequence and structure: Protein Data Bank,...
Supervised Machine Learning: classification and feature selection
In the eighth session of the Omics 2020 Data Science, we will discuss: Conceptual Introduction: Known sample data is used to train the computer to...
Hands-on Session 1: Sequence Alignment & Phylogeny
In the third session of the Genomics in the Virtual Lab Program, we will learn about the following: Introduction to protein resources (Uniprot, NCBI...
Unsupervised Machine Learning: dimensionality reduction and clustering
In the seventh session of the Omics 2020 Data Science, we will discuss: Finding patterns in the data and methods of data mining. PCA, k-means,...
Introduction to protein structure and function
In the second session of the Genomics in the Virtual Lab Program, we will learn about the following: The central dogma of molecular biology:...
Introduction to Machine Learning (ML) and Artificial Intelligence (AI)
In the sixth session of the Omics 2020 Data Science, we will discuss: Hypothesis testing 101: compare conditions and find the p-value Data-driven discovery: discover...
Introduction to bioinformatics
In the first session of the Genomics in the Virtual Lab Program, we will learn about the following: Omics technologies in the 21st century...
Hands-on: handling large and complex data (data properties, statistical summary and preparation for analysis)
In the fifth session of the Omics 2020 Data Science, we will discuss: Learn how to make statistical representations of the data and how to...
Exploratory data analysis: data summary and effective visualization
In the fourth session of the Omics 2020 Data Science, we will discuss: Summary statistics (histogram, boxplot, a scatterplot of 2 samples compared to each...
Cleaning, loading and processing data (Logical steps and a practice)
In the third session of the Omics 2020 Data Science, we will discuss: Analysis logic: from raw reads to a table of expression (RNA-seq example)...
Big Data Challenges and Opportunities (conceptual and computational)
In the second session of the Omics 2020 Data Science, we will discuss: Availability and variability of data Unprecedented Detail and volume Data heterogeneity,...
Processing Next Generation Sequencing Data
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