Upcoming Workshops
Workshops are offered at least once every semester. Registration opens about 3 weeks before the actual workshop dates or series. Dates will appear in Calendar below when scheduled.
(The Agenda list format may help find future dates.)
Workshops are heavily based on direct hands-on experience.
REGISTRATION: Within the calendar click on the selected workshop on the chosen date. Then click the “Registration” link. (Alternatively open calendar link in a new window.)
Use links Look for earlier events and Look for more to navigate calendar dates.
Workshop details and pricing
The workshop series are categorized by the underlying supporting software, primarily Linux-based open-source software and R-based software. Another category is specific for Microbiota analysis. Each workshop requires a separate registration and fee.
Linux-based workshops
These workshops use “open source” software and require access to a Linux server. As of now, this is only possible for UW-Madison personnel (see below “Who can attend”) but may become again available to external users in the future. External users with their own server might qualify.
Current offerings are “in person.”
R-based workshops
These workshop only require a personal computer with R and RStudio software installed.
Microbiota workshops
Microbiota workshops are offered for either mothur
or QIIME2
depending on the availability of instructors.
Flow Cytometry
These workshop only require a personal computer with FloJow software installed. Installation/License provided
Descriptions and fees
Find more details on the description and associated fees for the workshops within the accordion links below.
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Linux-based workshops
The following workshops are offered on a regular basis as an <q>all day</q> (9am ~ 4pm) session.
Title | Short description | In Person Fee | Remarks |
---|---|---|---|
Linux Essentials | Essential command line (bash shell) for navigating a remote Linux server and running software successfully without a mouse. |
$145 | All day. Required before other workshops. Declaration of proficiency is accepted. |
Intro to NGS Data Analysis | Practice hands-on analysis of Next Generation DNA Sequencing data to identify single nucleotide polymorphisms (SNP) | $210 | All day.bash skills required. Recommended before attending mRNAseq or ChIP workshops. |
mRNAseq Workshop (Tuxedo Suite 1) | Principles of mRNA-Seq analysis pipelines, high level analysis, differential gene expression. | $290 | All day. Recommended workshop for Advanced mRNAseq. |
mRNA-seq (Tuxedo Suite 2) | Set-up of an mRNA-Seq analysis pipelines analysis with differential gene expression on a laptop leveraging “container” software technology. | $375 | All day. Recommended workshop for Advanced mRNAseq and scRNAseq. |
The workshops below are not presented regularly:
Title | Short description | Online Fee | Remarks |
---|---|---|---|
Survival Bash | Shorter, alternate replacement of Linux Essentials | $85 | only 2 hours. |
ChIPseq | Covers major aspects of ChIP-seq data analysis: quality control, mapping, normalization, peak calling, peak annotation, analysis of motifs, visualization of results. | $210 | all day |
R-based workshops
Title | Short description | Fee | Remarks |
---|---|---|---|
Introduction to R / Rstudio / bioconductor | Preparation for Next-Generation Sequencing Data Analysis using R . Includes methods for reproducible researchand markdown language. |
$195 | All day. Preparation to all other R -based workshops. Provides insights to essential R commands. |
Introduction to R / Rstudio | Cover classic Rand elements of Tidyverse and reproducible research (dynamic documents.) |
$145 | ½ day. Preparation to other R -based workshops. Insights to essential R commands. |
mRNA-Seq Analysis with R |
Focused on differential gene expression analysis (DEG) with alternate, R -based methods |
$190 | All day. Prerequisites: prior experience with R |
ChIP-Seq Analysis with R | R -based methods to analyze ChIP-Seq data |
$190 | All day. Prerequisites: prior experience with R |
Advanced mRNAseq differential gene expression | Differential gene expression analysis (DEG) in more depth (statistical methods and normalization.) Focus on visualzing and interpreting DEG results. | $275 | All day. Prerequisites: bash , R , mRNA-Seq analysis. |
New for Fall 2024. Single-cell RNA-seq |
Cover fundamentals of single-cell technologies and Sc-RNA-seq data analysis including tips for experimental design. Learn how to turn raw data into biological insight with hands-on analysis of real datasets. Focus on Seurat R package, and overview of other software. |
$650 | Workshop spans 2 full days. Prerequisites: prior experience with R strongly encouraged. |
The following workshop uses R for differential gene expression. It should be noted that the mapping of “reads” from fastq files (to create Sam/Bam files) is never done within R.
Transcript-level mRNAseq on the desktop with Docker” | Set-up of an mRNA-Seq analysis pipelines analysis with differential gene expression on a laptop leveraging “container” software technology. | $375 | All day. Recommended workshop for Advanced mRNAseq and scRNAseq. |
Microbiota workshops
Microbiota workshops
Workshops based on mothur
:
Title | Short description | in person Fee | Remarks |
---|---|---|---|
Microbiota Processing in mothur | Identification of operational taxonomic units (OTUs) with mothur from Illumina data covering 16S rRNA gene sequences. |
$275 | All day. Prerequisites: bash |
Microbiota Analysis in R |
Statistical analysis of mothur results with R . |
$275 | All day. Prerequisites: Microbiota Processing in mothur or prior knowledge. |
Workshops based on QIIME2
:
Title | Short description | in person Fee | Remarks |
---|---|---|---|
Microbiome analysis using QIIME2 | Amplicon-based microbiome analysis using the QIIME2 vialine command methods | $275 | All day. Prerequisites: bash |
Analysis of microbiome data using R |
Result from previous workshop to determine if and how communities differ by variables of interest using R . |
$275 | All day. Prerequisites: familiarity with R and basic understanding of statistical method and QIIME2 |
Flow Cytometry
Workshops based on FlowJo
:
Title | Short description | in person Fee | Remarks |
---|---|---|---|
FlowJo Analysis for High-Parameter Data Sets | Intended Audience: Researchers currently using FlowJo to analyze flow & spectral cytometry data sets containing a minimum of 8 colors […] data quality control, clean up, normalization, and dimensionality reduction algorithms […] | $195 | All day. Access to FlowJo will be provided. |
Note: participants can obtain a Free 30-day FlowJo trial.
FlowJo full License can be obtained at UW: The Flow Lab hosts a site license for FlowJo Single Cell Data Analysis Software available to anyone with an “@wisc.edu” email account. The cost of the license is about $220 per registration, per year.
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Who can attend
Workshops are primary organized for UW-Madison personnel using the services of the DNA-sequencing facility and are taught on Linux server with access to the same software utilized by the Biotechnology Center Bioinformaticians. All UW-Madison personnel is welcome to attend.
Recent changes in the overall UW-Madison Campus network now prevents non-UW-Madison users to access the Linux servers. We are working on ways to address this issue for the future.
Note: some workshops are held in person while others may be taught by video conference.
Workshop design
The workshops are designed to learn by doing and are therefore very hands-on in practice. The successive workshops provide incremental learning. There are no prior requirements to attend, but a knowledge of bash
is essential to navigate a remote Linux computer. Therefore the first workshop titled Linux Essentials is required unless proficiency is declared.
There are many analysis methods and the workshop presentation is just an example of data analysis that may need to be adapted for user’s own research.
The workshops are based on open source software that users can access and download on their own systems.
Suggestions to prepare for workshops.
List of previous workshop dates