ncibtep@nih.gov

Bioinformatics Training and Education Program

BTEP Video Archive of Past Classes


Listed below are the video recordings of past BTEP events (classes, seminars, workshops).

Videos are hosted on various servers and may play slightly differently.

Some videos may be downloaded for local viewing.

Recorded Videos of Recent BTEP Classes

Online Classes 2024

Creating and Modifying Scatter Plots Using ggplot2: PCA and Volcano

Recording Link: https://cbiit.webex.com/cbiit/ldr.php?RCID=4a8b705eca15b1c0c9596b50199aa13b
Class Documents: https://bioinformatics.ccr.cancer.gov/docs/btep-training-2024/DataViz_ggplot2/DataVisualization_w_ggplot2/

Introduction to Bioinformatics Resources at NIH

Recording Link: https://cbiit.webex.com/cbiit/ldr.php?RCID=7d44a6e5fd3d84f96f2dce01d2dff3de
For class documents and slides please see: https://bioinformatics.ccr.cancer.gov/btep/classes/introduction-to-bioinformatics-resources-at-nih-1

Partek Flow Training

Bioinformatics: AI Chatbots in the Cloud. Plus workflows (Nov 13)

Recording link: https://cbiit.webex.com/cbiit/ldr.php?RCID=daec12cde3255662917d2706c700476d

Spatial Omics Data Analysis with MAWA: Introduction to NIDAP, MAWA Fundamentals, and Supervised Phenotyping (Oct 15)

Recording link: https://cbiit.webex.com/cbiit/ldr.php?RCID=09be6e444de9df4a4cee2c979b48fb0f

Spatial Omics Data Analysis with MAWA 2: Unsupervised Clustering (Oct 22)

Recording link: https://cbiit.webex.com/cbiit/ldr.php?RCID=8a8aad50a55aa9a5f615f48ad0c3cf8f

Spatial Omics Data Analysis with MAWA 3: Pairwise Spatial Analysis Using Hypothesis Testing (Oct 29)

Recording Link: https://cbiit.webex.com/cbiit/ldr.php?RCID=12b75c9528dfc122df185d93b9281af5

Spatial Omics Data Analysis with MAWA 4: Neighborhood Analysis Using Spatial UMAP (Nov 6)

Recording Link: https://cbiit.webex.com/cbiit/ldr.php?RCID=81853bd2e8e6edacb416e5d0f92d3368

CellMiner Cross-Database (CellMiner CDB) for Exploration and Analysis of Cancer Cell Line Pharmacogenomics Data (Oct 23)

Recording Link: https://cbiit.webex.com/cbiit/ldr.php?RCID=1e56a05fec61f3216a90d9040e4127bf

An Introduction to RNA-Seq: Overview of Expression Data Analysis (Oct 10)

Recording Link: https://cbiit.webex.com/cbiit/ldr.php?RCID=8d9dc8dba83ddf766fba789b29e45c55

Using Google BigQuery and R to Analyze TCGA Data from the NCI Genomic and Proteomic Data Commons (Oct 9)

Recording Link: https://cbiit.webex.com/cbiit/ldr.php?RCID=3c86624391783f2f35f4a0c8a4afce26

Fundamentals of Mass Spectrometry Based Proteomics and Applications for Quantitation (Oct 8)

Recording Link: https://cbiit.webex.com/cbiit/ldr.php?RCID=d5bc527513b1a45de0937c6168718982
Slides Part 1: https://bioinformatics.ccr.cancer.gov/btep/wp-content/uploads/sites/2/Fundamentals_MS_Part1.pdf
Slides Part 2: https://bioinformatics.ccr.cancer.gov/btep/wp-content/uploads/sites/2/Fundamentals_MS_Part2.pdf


Statistical Analysis of Biomarker Data in Clinical Trials (Oct 1)

Recording link: https://cbiit.webex.com/cbiit/ldr.php?RCID=3bf9be5dac906f3b8b92d611974b06f0
Class slides: https://bioinformatics.ccr.cancer.gov/btep/wp-content/uploads/sites/2/Biomarker_Rabbee_NCI_Webinar_Oct_1_2024_streamlined.pdf

Bioinformatics Community Fair at the NIH Research Festival (Sept 23)

Morning Session:

Recording
Slides:
  1. Bioinformatics Resources at NIH (Amy Stonelake, BTEP)
  2. Biowulf: A High-Performance Compute (HPC) Resource for the NIH Intramural Research Program (IRP) (Wolfgang Resch, CIT/Biowulf)
  3. Data and Bioinformatics Resources from the NIH Library (Doug Joubert, NIH Library)
  4. Integrating NGS, AI, and Pathway Analysis: A New Era of Computational Biology (Daoud Meerzaman, CBIIT)
  5. The NIAID Biovisualization Lab: A Central Resource for Immersive Exploration of Data with Virtual Reality and Advanced Visualization Technologies (Meghan McCarthy & Darrell Hurt, NIAID)
  6. Single Cell and Spatial Genomics: An Overview of the Tools to Study Cellular Heterogeneity, Dynamics, and Intracellular Signaling (Stefan Cordes, NHLBI)

Afternoon Session

Recording
Slides:
  1. Multimodal AI to Predict Chemotherapy Response of Ovarian Cancer(Minkyu Park, CBIIT)
  2. Transforming Medicine with AI: from PubMed Search to TrialGPT (Zhiyong Lu, NLM)
  3. Translational AI Applications in Prostate Cancer (Baris Turkbey, AIR)
  4. Exploring Large Language Models: Capabilities and Limitations in Biomedical Research (Owen Bianchi & Maya Willey, CARD & DataTecnica LLC)

Document Analysis Steps with Jupyter Lab (September 24)

Class documentation: https://bioinformatics.ccr.cancer.gov/docs/analysis-documentation-jupyter/index.html
Recording link: https://cbiit.webex.com/cbiit/ldr.php?RCID7dc2e2e1acc3fb95f04fe49b154e8a63

Unix for Bioinformatics Beginners

Class documentation: https://bioinformatics.ccr.cancer.gov/docs/unix-commands-for-beginners

Special Event: Single-Cell Spatial Transcriptomics + Proteomics (July 11)

Recording Link: https://cbiit.webex.com/cbiit/ldr.php?RCID=abda2fc50bc0b9939f521ada35fd6ce8

Introduction to R and Python Programming Languages (July 9)

Recording Link: https://cbiit.webex.com/cbiit/ldr.php?RCID=1490a3d865b91efed40c81bf8b7bd023
Slides: https://bioinformatics.ccr.cancer.gov/btep/wp-content/uploads/sites/2/Introduction-to-R-and-Python-Programming-Languages.pdf/

Data Visualization with ggplot2 (June 11)

Recording Link: https://cbiit.webex.com/cbiit/ldr.php?RCID=31262a7a7060a18c76c76147866c8b73
Documentation: https://bioinformatics.ccr.cancer.gov/docs/btep-training-2024/DataViz_ggplot2/DataVisualization_w_ggplot2/

Distinguished Speakers Seminar Series


Nov 21 – Pre-clinical Evaluation of Targeted Therapies for Pediatric Cancer (Carol Bult)
Recording Link: https://cbiit.webex.com/cbiit/ldr.php?RCID=56711538fc775adb1af04318e63a9a25

Nov 7 – Building and Rebuilding the Vertebrate Retina, Once Cell at a Time (Seth Blackshaw)
Recording Link: https://cbiit.webex.com/cbiit/ldr.php?RCID=457639bf16c1661ca3a52c9f61c793ea

Sept 12 – Telomere-to-telomere (T2T) Genome Assemblies: Shining a Light on Repeat Biology and Chromosome Dynamics (Rachel O’Neill)
There is no recording for this event at the request of the speaker.

Aug 29 – Clinical and Computational Molecular Profiling in Pediatric Cancer Diagnostics (Elaine Mardis)
Recording link: https://cbiit.webex.com/cbiit/ldr.php?RCID=35dae0765a827330cd09e88238cc93b0

Aug 8 – Genomes, Avatars, and AI: The Future of Personalized Medicine (Olivier Elemento)
Recording link: https://cbiit.webex.com/cbiit/ldr.php?RCID=206aa917e445b18b35a3637d2b3cf132

June 20 – Statistical Methods for Single-Cell RNA-Seq Analysis and Spatial Transcriptomics (Rafael Irizarry)
Recording Link: https://cbiit.webex.com/cbiit/ldr.php?RCID=287a3e075d7b9ead5db1d429b456ca78

June 1 – A More Comprehensive Landscape of RNA Alterations in Cancer with Long-read Sequencing (Angela Brooks)
Recording Link: https://cbiit.webex.com/cbiit/ldr.php?RCID=ef6706b376733ef44dc3cc95a394bc4f

May 23rd – Multimodal Data Integration: From Biomarkers to Mechanisms (Caroline Uhler)
Recording link: https://cbiit.webex.com/cbiit/ldr.php?RCID=2efcb9ff6da1b3719c5e94108e8bc50c

Apr 11th- Engineering Serendipity: Computational Methods for Large-Scale Data Extraction (Casey Greene)
Recording link: https://cbiit.webex.com/recordingservice/sites/cbiit/recording/playback/c1ec198c551c4cc9885e0449fedcf204

Getting Started with scRNA-Seq Seminar Series

Apr 3rd – The CCR Single Cell Analysis Facility (SCAF): An Overview (Mike Kelly)
Recording link: https://cbiit.webex.com/cbiit/ldr.php?RCID=18785288d22f105303a3d215300fd805
Slides: https://bioinformatics.ccr.cancer.gov/btep/wp-content/uploads/sites/2/2024-04-03-BTEP-Intro-to-SCAF-Mike-Kelly-v2.pdf

Apr 10th – Introduction to single cell RNA-Seq (Charlie Seibert, Saeed Aghdam)
Recording link: https://cbiit.webex.com/cbiit/ldr.php?RCID=ee12bfaf912d5104b3fc3a837f99f096

Apr 17th – SCAF: Overview of Cell Ranger output files and single cell data analysis quality control(Kimia Dadkhah)
Recording link: https://cbiit.webex.com/cbiit/ldr.php?RCID=875af03d230855d7615079bd195002c7
Slides: https://bioinformatics.ccr.cancer.gov/btep/wp-content/uploads/sites/2/BTEP_2024-04-17_Kimia_Dadkhah.pdf

Apr 24th – Introduction to scRNA-Seq with R (Seurat)(Alex Emmons)
Recording link: https://cbiit.webex.com/cbiit/ldr.php?RCID=80664d03945034fb9aedb4055be7114c

May 1st – Getting Started with Seurat: QC to Clustering (Alex Emmons)
Recording link: https://cbiit.webex.com/cbiit/ldr.php?RCID=2704d23912bf4821ee86a9f4a2c29f67

May 22nd – Differential Expression Analysis with Seurat (Nathan Wong)
Recording link: https://cbiit.webex.com/cbiit/ldr.php?RCID=8090bb2774d91198f92ff2ca333ce8de

May 29th – The CCBR Single-cell RNA-seq Workflow on NIDAP (Josh Meyer)
Recording link: https://cbiit.webex.com/cbiit/ldr.php?RCID=0f3bb1e17eeaba11e4d0a59aee7db055

Introduction to Geneious Prime (Mar 20)

Recording link: https://cbiit.webex.com/cbiit/ldr.php?RCID=b949d5b7abc34b5cc2de10a32b9f7124

AI in Biomedical Research at NIH Seminar Series

Feb 29 Artificial Intelligence in Biomedical Sciences (Brian Ondov)
Recording link: https://cbiit.webex.com/cbiit/ldr.php?RCID=5fc0f655a5f6feecce259f7d560af94d
Slides: https://bioinformatics.ccr.cancer.gov/btep/wp-content/uploads/sites/2/Ondov.pdf

Mar 21 How Large Language Models (LLMs) Accelerate Data Discovery and Harmonization (Mike Nalls)
Recording link: https://cbiit.webex.com/cbiit/ldr.php?RCID=dd89edda484ef6ae282e0ee5c4ae92bf
Slides: https://bioinformatics.ccr.cancer.gov/btep/wp-content/uploads/sites/2/mike_nalls_seminar_20240321.pdf

Apr 4 Explainable Artificial Intelligence (XAI) and Single Cell Genomics to Understand the Cellular Complexity of the Human Brain (Richard Scheuermann)
Recording link: https://cbiit.webex.com/recordingservice/sites/cbiit/recording/playback/43c3002dd4d3103cbdff00505681965e
Slides: https://bioinformatics.ccr.cancer.gov/btep/wp-content/uploads/sites/2/NCI-CCR-BTEP_2024_04_04_v2.pdf

May 2 Transforming Medicine with AI: From TrialGPT to GeneAgent (Zhiyong Lu)
Recording link: https://cbiit.webex.com/cbiit/ldr.php?RCID=7923c53dd5c23515c0cd029a5764e643

June 27 AI to Accelerate Biomedical Research (Faraz Faghri)
Recording link: https://cbiit.webex.com/cbiit/ldr.php?RCID=ff38883adf87df208d8791ad07fd0168

Sept 26 Translational AI Applications in Prostate Cancer (Baris Turkbey)
Recording Link: https://cbiit.webex.com/cbiit/ldr.php?RCID=743cca4259e9b590fe744867416430c1

Oct 10 Pixels to Prognosis: Next-Gen Digital Pathology for Cancer and Reproductive Aging Research (Sanju Sinha)
There is no recording for this event at the request of the speaker.

Oct 24 Leveraging AI for Precision Oncology: From Predicting Therapeutic Response to Enhancing CNS Tumor Diagnosis (Eldad Shulman)
Recording Link: https://cbiit.webex.com/cbiit/ldr.php?RCID=800a0c0b8bdb9a3ab52fdef209a15513

Nov 14 Custom AI Deployments to Keep AI Conversations (“chats”) Current (David Reif, NIEHS)
Recording Link: https://cbiit.webex.com/cbiit/ldr.php?RCID=e7ffa668fb8bdf897f8340bcce1a3b7c

Introduction to Bioinformatics Resources for CCR Scientists (Feb 22)

Recording link: https://cbiit.webex.com/cbiit/ldr.php?RCID=4d0f25f4fd5187c42ac688b3a3028c34

Topics in Bioinformatics

Introduction to Pathway Analysis using the Reactome Pathway Knowledgebase (Feb 14) Recording Link: https://cbiit.webex.com/cbiit/ldr.php?RCID=8dca0e487e0f738ea20df664e1735703

Streamlining microbial shotgun analysis with JAMS – from fastqs to pdfs (Mar 28)
Recording Link: https://cbiit.webex.com/cbiit/ldr.php?RCID=3c90c9d8f035e3872e73ef543670b272
Slides: https://bioinformatics.ccr.cancer.gov/btep/wp-content/uploads/sites/2/JAMS_NCI.pdf

Analyzing Cancer Data from the CRDC in the Google Cloud with the ISB-CGC Cancer Gateway in the Cloud (May 22)
Recording Link: https://cbiit.webex.com/cbiit/ldr.php?RCID=83801188ed9113105bf17b77fb88215b

BTEP Coding Club

Course documentation: https://bioinformatics.ccr.cancer.gov/docs/btep-coding-club/


R Introductory Series 2024 (January 23 – February 15)

Course documentation: https://bioinformatics.ccr.cancer.gov/docs/rintro/index.html

Introduction to Unix on Biowulf (January 22 – February 7)

Course documentation: https://bioinformatics.ccr.cancer.gov/docs/unix-on-biowulf-2024/

Qlucore Omics Explorer


Schedule a 30 minute help session with Qlucore: https://calendly.com/yana-stackpole/30min

Qiagen



Online Classes 2023

Capabilities of the NIDAP platform for Transcriptomic Analysis (Dec 14, 2023)

Slides: https://bioinformatics.ccr.cancer.gov/btep/wp-content/uploads/sites/2/NIDAP_Overview_20231214.pdf
Recording Link: https://cbiit.webex.com/cbiit/ldr.php?RCID=14ad1204eaf2612ee650e4d6fdf8bc53

Variant Analysis: Experimental Design, Best Practices, and Workflows (Dec 7, 2023)

Recording Link: https://cbiit.webex.com/cbiit/ldr.php?RCID=9da35c476972e99969d37a2c613916c6

Data Wrangling with R (November 27 – December 20)

Course documentation: https://bioinformatics.ccr.cancer.gov/docs/data-wrangle-with-r/

Introduction to Unix on Biowulf (September 7 – September 28)

Course documentation: https://bioinformatics.ccr.cancer.gov/docs/unix-on-biowulf-september-2023/index.html



Python Introductory Series (August 15 – August 29)

Course documentation: https://bioinformatics.ccr.cancer.gov/docs/pies-2023/

Toward Reproducibility with R on Biowulf (July 6 – July 27)

Course documentation: https://bioinformatics.ccr.cancer.gov/docs/reproducible-r-on-biowulf/index.html

Analyzing your data WITHOUT coding experience: CCR Bioinformatics Licensed Software (June 15)

Introduction to Bioinformatics Summer Series (June 13 – July 27)

Course documents: https://bioinformatics.ccr.cancer.gov/docs/intro-to-bioinformatics-ss2023/

Introduction to Biowulf (May 16 – June 6)

This course series introduces the basics of working on the Biowulf high performance computing cluster.

Course documents: https://bioinformatics.ccr.cancer.gov/docs/biowulf-introduction-summer-2023/

Data visualization with R (Apr 11 – Apr 27)

In this course series, the audience will learn how to visualize data using the ggplot2 package from R.

BTEP Distinguished Speakers Seminar Series

Single Cell Annotation Seminar Series

BTEP Single Cell Half Day (March 23rd)

BTEP Coding Club

The BTEP Coding club is a new initiative to provide more tailored bioinformatics training to the NCI community. Each month we will feature a 1-hour demo / tutorial of a bioinformatics tool, software, skill, or platform. We welcome suggestions from the NCI community. Email us at ncibtep@nih.gov if there is a specific topic you would like to see featured.

Course documentation: https://bioinformatics.ccr.cancer.gov/docs/btep-coding-club/

Partek Flow Training

Introduction to Unix on Biowulf (Jan – Feb)

This course series introduces scientists to working on Biowulf, the Unix-based and high-performance compute system at NIH. Biowulf staff installs and maintains hundreds of tools for working with large datasets such as those generated from high-throughput sequencing.

Course documentation: https://bioinformatics.ccr.cancer.gov/docs/unix-on-biowulf-2023/

R Introductory Series (Jan – Feb)

This course will include a series of lessons for individuals new to R or with limited R experience. The purpose of this course is to introduce the foundational skills necessary to begin to analyze and visualize data in R. This course is not designed for those with intermediate R experience and is not tailored to any one specific type of analysis.

Course documentation: https://bioinformatics.ccr.cancer.gov/docs/rintro_2023/index.html

Qlucore



Introduction to Bioinformatics Resources for NCI CCR Scientists

Learn about the: (1) NIH Bioinformatics Calendar, (2) Training Opportunities, (3) Upcoming Events, (4) New BTEP Website Resources, (5) Biowulf, (6) Next-Gen Seq Analysis Tools (Partek Flow, Qlucore, Qiagen IPA), (7) Workflows, (8) Cloud Resources, (9) NCI Sequencing Cores, (10) NIH Training Resources.
 
Online Classes 2022

Microbiome Analysis with QIIME 2

Course materials: https://bioinformatics.ccr.cancer.gov/docs/qiime2/ Recording link: https://cbiit.webex.com/cbiit/ldr.php?RCID=4d90e55b0adaebe54bff0ed5030783f3

Greg Caporaso: Toward Fully Reproducible Microbiome Multi-omics Bioinformatics with QIIME 2 (Oct 19th)

Recording link: https://cbiit.webex.com/cbiit/ldr.php?RCID=c44af836ce9dd1631b58ccc285880a56
 

Bioinformatics for Beginners: RNA-Seq Data Analysis (Sept 27th – Dec 13th)

Course materials: https://bioinformatics.ccr.cancer.gov/docs/b4b/
 

Qiagen Pathway Analysis for Beginners: Generating a Gene Network from Experimental Data (August 31)

Recording link: https://cbiit.webex.com/cbiit/ldr.php?RCID=e141aefc6a798f6510fbae29ad98ea41 Qiagen IPA upcoming webinars and trainings Previously recorded webinars and trainings for IPA For questions, email Qiagen technical support: ts-bioinformatics@qiagen.com
 

Creating Publication Ready RNA-Seq Graphs in Partek Flow (Aug 24)

Recording link: https://cbiit.webex.com/cbiit/ldr.php?RCID=3d5ea2c9c65a811972d0ff1f884e2dda
 

Bioinformatics Resources for CCR Scientists (July 26)

Recording link: https://cbiit.webex.com/cbiit/ldr.php?RCID=9d83c3a41b5c017de966f39178ea6b03 Presentation slides: Presentation Intro to Bioinformatics Resources FINAL VERSION
 

Variant Analysis – Experimental Design, Best Practices, and Workflows (June 30)

Recording link: https://cbiit.webex.com/recordingservice/sites/cbiit/recording/8cd6adf4dacc103a83be00505681c451
Presentation slides:

Qlucore: Bulk RNA-Seq Data Analysis (June 29)

Recording link: https://cbiit.webex.com/webappng/sites/cbiit/recording/c788382fd9e1103ab7f6005056818fce
 

Data Wrangling with R (June 7 – July 7)

Course Materials: https://bioinformatics.ccr.cancer.gov/docs/data-wrangle-with-r/
 

Partek Flow: Bulk and Single Cell Gene Expression Visualization (May 18)

Recording link:  https://cbiit.webex.com/cbiit/ldr.php?RCID=b5b1948aab3093124275d06fa55b08ae
 

Qlucore: Import and analyze public data from SRA, GEO and TCGA (May 11)

Recording link: https://cbiit.webex.com/cbiit/ldr.php?RCID=c8e8e8ff837caeb2d4d3839bc180b9bb

Training: Access GEO, SRA, ArrayExpress, TCGA, GTEx and more with Qiagen IPA Land Explorer (April 20)

Recording link: https://cbiit.webex.com/cbiit/ldr.php?RCID=d081980970fce4cb50dd20d3f4f3e172
 

Single Cell RNA-Seq Analysis with Partek Flow (April 13)

Recording Link: https://cbiit.webex.com/cbiit/ldr.php%3FRCID%3D02b734d9f2b8466bf996ccc5d52d0c02
 

Qlucore: Pathway Analysis with Gene Set Enrichment Analysis (GSEA) (April 6)

Recording link: https://cbiit.webex.com/cbiit/ldr.php?RCID=8cfdd939b601f0402b312ba2f8e85262
  Recommended Resources:
  1. GSEA hands-on webinar_Qlucore.pdf
  2. GSEA in Qlucore.pdf
  3. GSEA_MSigDB Collections.pdf
  4. How to do Pathway Analysis A.pdf
  5. MSigDB Hallmark human gene sets UCSD.pdf
  6. PNAS-2005-Subramanian-GSEA.pdf

 

Data Visualization with R (April 5 – May 10)

Course Materials: https://bioinformatics.ccr.cancer.gov/docs/data-visualization-with-r/
  • Lesson 1, April 5: Introduction to plot types Why R for data visualization? We will introduce the various plot types that will be generated throughout the course and will showcase related plots that you will be able to create in the future using the foundational skills gained. Recording link: https://cbiit.webex.com/cbiit/ldr.php?RCID=5bfc45c875be766b41f8a9948487a822
  • Lesson 2, April 12: Basics of ggplot2 In lesson 2 of the Data Visualization with R series we will focus on the basics of ggplot2, including the grammar of graphics philosophy and its application. This lesson will provide a hands on introduction to the ggplot2 syntax, geom functions, mapping and aesthetics, and plot layering. Recording link: https://cbiit.webex.com/cbiit/ldr.php?RCID=c2bacdc4f78ef005f1356fb2d8b798c4
  • Lesson 3, April 19:  Scatter plots and ggplot2 customization In lesson 3 of the Data Visualization with R series we will continue the discussion on the grammar of graphics, with a focus on ggplot2 plot customization including axes labels, coordinate systems, axes scales, and themes. This hands on lesson will showcase these features of plot building through the generation of increasingly complex scatter plots using data included with a base R installation as well as RNASeq data. Recording link: https://cbiit.webex.com/cbiit/ldr.php?RCID=ee0789d3b2cb5cc40c77f0d9e8bb3790
  • Lesson 4, April 26: Visualizing summary statistics with histograms, bar plots, and box plots In lesson 4 of the Data Visualization with R series we will learn to generate plots that will help with visualization of summary statistics including a bar plot with error bars, histogram, as well as the box and whiskers plot. Recording link: https://cbiit.webex.com/cbiit/ldr.php?RCID=83a227f93612bdc27637783e586d7025
  • Lesson 5, May 3: Visualizing clusters with heatmaps In lesson 5 of the Data Visualization with R series we will introduce the heatmap and dendrogram as tools for visualizing clusters in data. Recording link: https://cbiit.webex.com/cbiit/ldr.php?RCID=4183dc8595b722b9eed9aa32a0e016ef
  • Lesson 6, May 10: Combining multiple plots to create a figure panel In lesson 6 of the Data Visualization with R series we will focus on generating sub plots and multi plot figure panels using ggplot2 associated packages. This will allow us to meet any figure limitations that scientific journals may have. Recording link: https://cbiit.webex.com/cbiit/ldr.php?RCID=890e966d5e6520052426214db0345d96

 

Introducing QIIME2, a Powerful Platform for Microbiome Analysis (March 24)

QIIME2 is a powerful microbiome analysis platform with a wide array of tools that can be used throughout all stages of your microbiome workflow, from raw data to statistical evaluation and visualization. This course will provide an overview of QIIME2, which will include an introduction to the core plugins and methods available with a base QIIME2 installation, tools for reproducibility and visualization, features available for community support and help, and additional learning opportunities. Recording Link: https://cbiit.webex.com/cbiit/ldr.php?RCID=2ad95564340a539395ff3c62e1126ae3 Link to Slides: qiime2_overview

Qlucore: Single Cell Data, from 10x Output to Clustering, Cluster ID and Statistical Analysis in a Visual Qlucore Platform (February 23)

Recording link: https://cbiit.webex.com/cbiit/ldr.php?RCID=e5cdeb4d9a3720b6807ab767d78c4e40
 

R Introductory Series (Jan – Feb)

This course will include a series of lessons for individuals new to R or with limited R experience. The purpose of this course is to introduce the foundational skills necessary to begin to analyze and visualize data in R. This course is not designed for those with intermediate R experience and is not tailored to any one specific type of analysis.

Course documentation: https://bioinformatics.ccr.cancer.gov/docs/rintro/
 

Partek Flow: Variant DNA-Seq Data Analysis (January 19)

Recording link: https://cbiit.webex.com/cbiit/ldr.php?RCID=95300876cd21dcdf724b34450edf02b7

Recorded Videos of Other BTEP Events

Distinguished Speaker Series  
NGS Analysis
Programming
Single Cell
Commercial Software