Канал: NIHCIT

Workflow Basics - Transcriptome Assembly Refinement and Applications (2 of 5)

Workflow Basics - Transcriptome Assembly Refinement and Applications (2 of 5)

Multimodal Genomic Analysis - Metagenomics Analysis of Biofilm Microbiome (1 of 1)

Multimodal Genomic Analysis - Metagenomics Analysis of Biofilm Microbiome (1 of 1)

Analysis of Biomedical Data for Biomarker Discovery (1 of 1)

Analysis of Biomedical Data for Biomarker Discovery (1 of 1)

Introduction to Pathway Analysis - Consensus Pathway Analysis in the Cloud (1 of 1)

Introduction to Pathway Analysis - Consensus Pathway Analysis in the Cloud (1 of 1)

Open-Source Interactive ATAC-Seq Analysis - ATAC-Seq and Single-Cell ATAC-Seq Analysis (1 of 1)

Open-Source Interactive ATAC-Seq Analysis - ATAC-Seq and Single-Cell ATAC-Seq Analysis (1 of 1)

Integration Module Code Overview - Integrating Multi-Omics Datasets (4 of 4)

Integration Module Code Overview - Integrating Multi-Omics Datasets (4 of 4)

DNA Methylation Module Code Overview - Integrating Multi-Omics Datasets (3 of 4)

DNA Methylation Module Code Overview - Integrating Multi-Omics Datasets (3 of 4)

Integration Module Overview - Integrating Multi-Omics Datasets (2 of 4)

Integration Module Overview - Integrating Multi-Omics Datasets (2 of 4)

Transcriptomic and Epigenetic Data Integration - Integrating Multi-Omics Datasets (1 of 4)

Transcriptomic and Epigenetic Data Integration - Integrating Multi-Omics Datasets (1 of 4)

Overview - RNA-Seq Differential Expression Analysis (1 of 2)

Overview - RNA-Seq Differential Expression Analysis (1 of 2)

Walkthrough of Sub-Module 1 - RNA-Seq Differential Expression Analysis (2 of 2)

Walkthrough of Sub-Module 1 - RNA-Seq Differential Expression Analysis (2 of 2)

Introduction to WGBS - DNA Methylation Sequencing Analysis with WGBS (1 of 1)

Introduction to WGBS - DNA Methylation Sequencing Analysis with WGBS (1 of 1)

Deep Learning for Biomedical Data Analysis - Biomedical Imaging Analysis using AI/ML (1 of 1)

Deep Learning for Biomedical Data Analysis - Biomedical Imaging Analysis using AI/ML (1 of 1)

Walkthrough of ML Solution - Introduction to Data Science for Biology (11 of 11)

Walkthrough of ML Solution - Introduction to Data Science for Biology (11 of 11)

Try Using a Tree Model to Predict Data - Introduction to Data Science for Biology (10 of 11)

Try Using a Tree Model to Predict Data - Introduction to Data Science for Biology (10 of 11)

See How the Decision Tree Model Performed - Introduction to Data Science for Biology (9 of 11)

See How the Decision Tree Model Performed - Introduction to Data Science for Biology (9 of 11)

Make Predictions with the Trained Decision Tree - Introduction to Data Science for Biology (8 of 11)

Make Predictions with the Trained Decision Tree - Introduction to Data Science for Biology (8 of 11)

Visualize the Trained Decision Tree - Introduction to Data Science for Biology (7 of 11)

Visualize the Trained Decision Tree - Introduction to Data Science for Biology (7 of 11)

Create a Decision Tree Object and Train it - Introduction to Data Science for Biology (6 of 11)

Create a Decision Tree Object and Train it - Introduction to Data Science for Biology (6 of 11)

Separate Dataset into Features and Labels - Introduction to Data Science for Biology (5 of 11)

Separate Dataset into Features and Labels - Introduction to Data Science for Biology (5 of 11)

Load Training Data and Ensure it Looks Correct - Introduction to Data Science for Biology (4 of 11)

Load Training Data and Ensure it Looks Correct - Introduction to Data Science for Biology (4 of 11)

Import Necessary Packages into Google Colab - Introduction to Data Science for Biology (3 of 11)

Import Necessary Packages into Google Colab - Introduction to Data Science for Biology (3 of 11)

Objectives of Exercise - Introduction to Data Science for Biology (2 of 11)

Objectives of Exercise - Introduction to Data Science for Biology (2 of 11)

Introduction - Introduction to Data Science for Biology (1 of 11)

Introduction - Introduction to Data Science for Biology (1 of 11)

Assessing a Transcriptome - Transcriptome Assembly Refinement and Applications (5 of 5)

Assessing a Transcriptome - Transcriptome Assembly Refinement and Applications (5 of 5)

Annotating a Transcriptome - Transcriptome Assembly Refinement and Applications (4 of 5)

Annotating a Transcriptome - Transcriptome Assembly Refinement and Applications (4 of 5)

Efficient Cloud Computing - Transcriptome Assembly Refinement and Applications (3 of 5)

Efficient Cloud Computing - Transcriptome Assembly Refinement and Applications (3 of 5)

Introduction - Transcriptome Assembly Refinement and Applications (1 of 5)

Introduction - Transcriptome Assembly Refinement and Applications (1 of 5)

Introduction to BASH for Biologists - Fundamentals of Bioinformatics (1 of 6)

Introduction to BASH for Biologists - Fundamentals of Bioinformatics (1 of 6)

Introduction to Jupyter Notebooks in GCP Using Vertex AI - Fundamentals of Bioinformatics (2 of 6)

Introduction to Jupyter Notebooks in GCP Using Vertex AI - Fundamentals of Bioinformatics (2 of 6)

Absolute and Relative Paths - Fundamentals of Bioinformatics (3 of 6)

Absolute and Relative Paths - Fundamentals of Bioinformatics (3 of 6)

Piping to Form Complex BASH Commands - Fundamentals of Bioinformatics (4 of 6)

Piping to Form Complex BASH Commands - Fundamentals of Bioinformatics (4 of 6)

Looping BASH Commands - Fundamentals of Bioinformatics (5 of 6)

Looping BASH Commands - Fundamentals of Bioinformatics (5 of 6)

Creating a JSON File for Data Science - Fundamentals of Bioinformatics (6 of 6)

Creating a JSON File for Data Science - Fundamentals of Bioinformatics (6 of 6)