RNA Methylation Analysis with MeRIP-seq (1 of 1)
NIHCIT
RNA Methylation Analysis with MeRIP-seq (1 of 1)
10:34
FAIR Data Principles and FAIRness Metrics (6 of 13)
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FAIR Data Principles and FAIRness Metrics (6 of 13)
6:53
Responsible AI and ML (8 of 13)
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Responsible AI and ML (8 of 13)
4:51
Data Centric AI and ML (7 of 13)
NIHCIT
Data Centric AI and ML (7 of 13)
8:54
Introduction to AI/ML Applications (4 of 13)
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Introduction to AI/ML Applications (4 of 13)
11:32
Model Tuning, Interpretation and Deployment (12 of 13)
NIHCIT
Model Tuning, Interpretation and Deployment (12 of 13)
10:51
Tour of Git (10 of 16)
NIHCIT
Tour of Git (10 of 16)
10:12
Introduction to machine learning (3 of 4)
NIHCIT
Introduction to machine learning (3 of 4)
4:08
Machine learning (4 of 4)
NIHCIT
Machine learning (4 of 4)
3:22
Git Install (9 of 16)
NIHCIT
Git Install (9 of 16)
1:57
Introduction to Git (8 of 16)
NIHCIT
Introduction to Git (8 of 16)
2:10
Overview of Data Science Life Cycle (5 of 13)
NIHCIT
Overview of Data Science Life Cycle (5 of 13)
11:15
Introduction to Deep Learning (13 of 13)
NIHCIT
Introduction to Deep Learning (13 of 13)
18:13
Tour of GitHub (5 of 16)
NIHCIT
Tour of GitHub (5 of 16)
1:30
Create/Populate New Repository (14 of 16)
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Create/Populate New Repository (14 of 16)
10:59
Introduction to AI/ML Basic Concepts (3 of 13)
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Introduction to AI/ML Basic Concepts (3 of 13)
17:43
Feature Engineering, Scaling, and Selection (10 of 13)
NIHCIT
Feature Engineering, Scaling, and Selection (10 of 13)
16:08
GitHub Desktop Tutorial (12 of 16)
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GitHub Desktop Tutorial (12 of 16)
6:00
Data Collection and Preparation (9 of 13)
NIHCIT
Data Collection and Preparation (9 of 13)
16:28
Introduction to Artificial Intelligence and Machine Learning (2 of 13)
NIHCIT
Introduction to Artificial Intelligence and Machine Learning (2 of 13)
30:44
GitHub Desktop Install (2 of 16)
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GitHub Desktop Install (2 of 16)
1:04
Create GitHub Account (3 of 16)
NIHCIT
Create GitHub Account (3 of 16)
1:14
Creating and Populating New Repository (13 of 16)
NIHCIT
Creating and Populating New Repository (13 of 16)
0:56
Overview of module (1 of 1)
NIHCIT
Overview of module (1 of 1)
6:08
ML Models and Model Evaluation (11 of 13)
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ML Models and Model Evaluation (11 of 13)
27:00
Overview (1 of 4)
NIHCIT
Overview (1 of 4)
4:23
Module Introduction (1 of 13)
NIHCIT
Module Introduction (1 of 13)
3:38
Introduction to PyMOL (2 of 4)
NIHCIT
Introduction to PyMOL (2 of 4)
1:39
Overview of Microbial 16S rRNA Sequencing Module (1 of 3)
NIHCIT
Overview of Microbial 16S rRNA Sequencing Module (1 of 3)
7:10
Overview of RNA Sequencing Data to Characterize Gene and MicroRNA Expression (1 of 1)
NIHCIT
Overview of RNA Sequencing Data to Characterize Gene and MicroRNA Expression (1 of 1)
13:45
Introduction to Pangenomics: Cloud Module (1 of 2)
NIHCIT
Introduction to Pangenomics: Cloud Module (1 of 2)
4:25
Submodule 3 walkthrough (4 of 5)
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Submodule 3 walkthrough (4 of 5)
5:40
Creating an AWS SageMaker Notebook Instance (2 of 3)
NIHCIT
Creating an AWS SageMaker Notebook Instance (2 of 3)
7:14
Protein structure visualization LSU-Submodule1.1a (2 of 3)
NIHCIT
Protein structure visualization LSU-Submodule1.1a (2 of 3)
5:18
Typical Collaboration Process Walkthrough (6 of 16)
NIHCIT
Typical Collaboration Process Walkthrough (6 of 16)
1:44
Submodule 1 walkthrough (2 of 5)
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Submodule 1 walkthrough (2 of 5)
4:37
Submodule-2 (3 of 5)
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Submodule-2 (3 of 5)
8:00
Using Git with GitHub (11 of 16)
NIHCIT
Using Git with GitHub (11 of 16)
8:16
Submodule-1 (2 of 5)
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Submodule-1 (2 of 5)
6:43
Submodule-3 (5 of 5)
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Submodule-3 (5 of 5)
8:02
What is Version Control (7 of 16)
NIHCIT
What is Version Control (7 of 16)
0:32
NH INBRE Overview video (1 of 1)
NIHCIT
NH INBRE Overview video (1 of 1)
4:08
COOT (4 of 5)
NIHCIT
COOT (4 of 5)
7:38
NIH/NIGMS Sandbox Chromatin Occupancy Video 1 (1 of 2)
NIHCIT
NIH/NIGMS Sandbox Chromatin Occupancy Video 1 (1 of 2)
4:09
Microbiome Statistical Analysis (3 of 3)
NIHCIT
Microbiome Statistical Analysis (3 of 3)
3:39
Creating a GCP Notebook Instance (1 of 3)
NIHCIT
Creating a GCP Notebook Instance (1 of 3)
6:54
Introduction to Phylogenetic Tree (1 of 5)
NIHCIT
Introduction to Phylogenetic Tree (1 of 5)
4:52
Yeast: CUP1 and YHR054C genes (2 of 2)
NIHCIT
Yeast: CUP1 and YHR054C genes (2 of 2)
6:15
What is GitHub (1 of 16)
NIHCIT
What is GitHub (1 of 16)
0:49
Submodule 2 walkthrough (3 of 5)
NIHCIT
Submodule 2 walkthrough (3 of 5)
4:46
Background of Microbiome Analysis (2 of 3)
NIHCIT
Background of Microbiome Analysis (2 of 3)
3:03
NIH/NIGMS Sandbox Chromatin Occupancy Video 2 (2 of 2)
NIHCIT
NIH/NIGMS Sandbox Chromatin Occupancy Video 2 (2 of 2)
2:14
Submodule 4 walkthrough (5 of 5)
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Submodule 4 walkthrough (5 of 5)
4:36
Running an AWS container in AWS SageMaker Studio (3 of 3)
NIHCIT
Running an AWS container in AWS SageMaker Studio (3 of 3)
7:51
Introduction to the crystallography submodules (1 of 5)
NIHCIT
Introduction to the crystallography submodules (1 of 5)
11:49
Visualizing binding site on protein LSU-Submodule 1.1b (3 of 3)
NIHCIT
Visualizing binding site on protein LSU-Submodule 1.1b (3 of 3)
5:37
LSU-Introduction to NIGMS Sandbox module (1 of 3)
NIHCIT
LSU-Introduction to NIGMS Sandbox module (1 of 3)
9:36
Intro to Python for Bioinformatics
NIHCIT
Intro to Python for Bioinformatics
8:26
RADseq cloud overview (1 of 3)
NIHCIT
RADseq cloud overview (1 of 3)
10:04
Ipyrad assembly and population genomics (2 of 3)
NIHCIT
Ipyrad assembly and population genomics (2 of 3)
5:58
phylogenetic inference and plotting (3 of 3)
NIHCIT
phylogenetic inference and plotting (3 of 3)
4:38
Delete GitHub Repository (15 of 16)
NIHCIT
Delete GitHub Repository (15 of 16)
1:29
Get GitHub Account Token (4 of 16)
NIHCIT
Get GitHub Account Token (4 of 16)
1:55
Delete Local Repository (16 of 16)
NIHCIT
Delete Local Repository (16 of 16)
0:42
Unlock the Power of Cloud Computing with NIH Cloud Lab
NIHCIT
Unlock the Power of Cloud Computing with NIH Cloud Lab
2:58
Workflow Basics - Transcriptome Assembly Refinement and Applications (2 of 5)
NIHCIT
Workflow Basics - Transcriptome Assembly Refinement and Applications (2 of 5)
6:42
Multimodal Genomic Analysis - Metagenomics Analysis of Biofilm Microbiome (1 of 1)
NIHCIT
Multimodal Genomic Analysis - Metagenomics Analysis of Biofilm Microbiome (1 of 1)
10:07
Analysis of Biomedical Data for Biomarker Discovery (1 of 1)
NIHCIT
Analysis of Biomedical Data for Biomarker Discovery (1 of 1)
4:06
Introduction to Pathway Analysis - Consensus Pathway Analysis in the Cloud (1 of 1)
NIHCIT
Introduction to Pathway Analysis - Consensus Pathway Analysis in the Cloud (1 of 1)
4:33
Open-Source Interactive ATAC-Seq Analysis - ATAC-Seq and Single-Cell ATAC-Seq Analysis (1 of 1)
NIHCIT
Open-Source Interactive ATAC-Seq Analysis - ATAC-Seq and Single-Cell ATAC-Seq Analysis (1 of 1)
12:00
Integration Module Code Overview - Integrating Multi-Omics Datasets (4 of 4)
NIHCIT
Integration Module Code Overview - Integrating Multi-Omics Datasets (4 of 4)
4:42
DNA Methylation Module Code Overview - Integrating Multi-Omics Datasets (3 of 4)
NIHCIT
DNA Methylation Module Code Overview - Integrating Multi-Omics Datasets (3 of 4)
2:45
Integration Module Overview - Integrating Multi-Omics Datasets (2 of 4)
NIHCIT
Integration Module Overview - Integrating Multi-Omics Datasets (2 of 4)
12:16
Transcriptomic and Epigenetic Data Integration - Integrating Multi-Omics Datasets (1 of 4)
NIHCIT
Transcriptomic and Epigenetic Data Integration - Integrating Multi-Omics Datasets (1 of 4)
6:34
Overview - RNA-Seq Differential Expression Analysis (1 of 2)
NIHCIT
Overview - RNA-Seq Differential Expression Analysis (1 of 2)
5:27
Walkthrough of Sub-Module 1 - RNA-Seq Differential Expression Analysis (2 of 2)
NIHCIT
Walkthrough of Sub-Module 1 - RNA-Seq Differential Expression Analysis (2 of 2)
32:59
Introduction to WGBS - DNA Methylation Sequencing Analysis with WGBS (1 of 1)
NIHCIT
Introduction to WGBS - DNA Methylation Sequencing Analysis with WGBS (1 of 1)
9:56
Deep Learning for Biomedical Data Analysis - Biomedical Imaging Analysis using AI/ML (1 of 1)
NIHCIT
Deep Learning for Biomedical Data Analysis - Biomedical Imaging Analysis using AI/ML (1 of 1)
9:17
Walkthrough of ML Solution - Introduction to Data Science for Biology (11 of 11)
NIHCIT
Walkthrough of ML Solution - Introduction to Data Science for Biology (11 of 11)
10:29
Try Using a Tree Model to Predict Data - Introduction to Data Science for Biology (10 of 11)
NIHCIT
Try Using a Tree Model to Predict Data - Introduction to Data Science for Biology (10 of 11)
13:12
See How the Decision Tree Model Performed - Introduction to Data Science for Biology (9 of 11)
NIHCIT
See How the Decision Tree Model Performed - Introduction to Data Science for Biology (9 of 11)
1:40
Make Predictions with the Trained Decision Tree - Introduction to Data Science for Biology (8 of 11)
NIHCIT
Make Predictions with the Trained Decision Tree - Introduction to Data Science for Biology (8 of 11)
2:48
Visualize the Trained Decision Tree - Introduction to Data Science for Biology (7 of 11)
NIHCIT
Visualize the Trained Decision Tree - Introduction to Data Science for Biology (7 of 11)
2:42
Create a Decision Tree Object and Train it - Introduction to Data Science for Biology (6 of 11)
NIHCIT
Create a Decision Tree Object and Train it - Introduction to Data Science for Biology (6 of 11)
1:09
Separate Dataset into Features and Labels - Introduction to Data Science for Biology (5 of 11)
NIHCIT
Separate Dataset into Features and Labels - Introduction to Data Science for Biology (5 of 11)
1:30
Load Training Data and Ensure it Looks Correct - Introduction to Data Science for Biology (4 of 11)
NIHCIT
Load Training Data and Ensure it Looks Correct - Introduction to Data Science for Biology (4 of 11)
2:30
Import Necessary Packages into Google Colab - Introduction to Data Science for Biology (3 of 11)
NIHCIT
Import Necessary Packages into Google Colab - Introduction to Data Science for Biology (3 of 11)
1:59
Objectives of Exercise - Introduction to Data Science for Biology (2 of 11)
NIHCIT
Objectives of Exercise - Introduction to Data Science for Biology (2 of 11)
3:24
Introduction - Introduction to Data Science for Biology (1 of 11)
NIHCIT
Introduction - Introduction to Data Science for Biology (1 of 11)
13:36
Assessing a Transcriptome - Transcriptome Assembly Refinement and Applications (5 of 5)
NIHCIT
Assessing a Transcriptome - Transcriptome Assembly Refinement and Applications (5 of 5)
7:50
Annotating a Transcriptome - Transcriptome Assembly Refinement and Applications (4 of 5)
NIHCIT
Annotating a Transcriptome - Transcriptome Assembly Refinement and Applications (4 of 5)
4:25
Efficient Cloud Computing - Transcriptome Assembly Refinement and Applications (3 of 5)
NIHCIT
Efficient Cloud Computing - Transcriptome Assembly Refinement and Applications (3 of 5)
3:21
Introduction - Transcriptome Assembly Refinement and Applications (1 of 5)
NIHCIT
Introduction - Transcriptome Assembly Refinement and Applications (1 of 5)
11:39
Introduction to BASH for Biologists - Fundamentals of Bioinformatics (1 of 6)
NIHCIT
Introduction to BASH for Biologists - Fundamentals of Bioinformatics (1 of 6)
3:23
Introduction to Jupyter Notebooks in GCP Using Vertex AI - Fundamentals of Bioinformatics (2 of 6)
NIHCIT
Introduction to Jupyter Notebooks in GCP Using Vertex AI - Fundamentals of Bioinformatics (2 of 6)
3:47
Absolute and Relative Paths - Fundamentals of Bioinformatics (3 of 6)
NIHCIT
Absolute and Relative Paths - Fundamentals of Bioinformatics (3 of 6)
4:14
Piping to Form Complex BASH Commands - Fundamentals of Bioinformatics (4 of 6)
NIHCIT
Piping to Form Complex BASH Commands - Fundamentals of Bioinformatics (4 of 6)
4:30
Looping BASH Commands - Fundamentals of Bioinformatics (5 of 6)
NIHCIT
Looping BASH Commands - Fundamentals of Bioinformatics (5 of 6)
2:55
Creating a JSON File for Data Science - Fundamentals of Bioinformatics (6 of 6)
NIHCIT
Creating a JSON File for Data Science - Fundamentals of Bioinformatics (6 of 6)
2:14