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FUTURE SEMINARS SIGN-UP

COMING SOON

Introducing Randi: The CRI’s New High Performance Computing Cluster

Stay tuned for updates on event details.

About the series: Since 2012, the Center for Research Informatics has offered free training sessions for the University of Chicago community in informatics research tools and techniques. Topics include REDCap, clinical data, bioinformatics analysis, data visualization, high performance computing, grant preparation, and more.

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PAST SEMINARS

We archive our past training seminars here, including links to the content if it is available.

DATECATEGORYTITLECONTENT
January 2024BioinformaticsIntroduction to Linux Command Line for Bioinformatics
November 2023Data AnalyticsShowcase of Reseach Project: NLP to Identify Mental Illness and Substance Use Factors in Clinical Notes Case Illustration of NLP in a Research Project
November 2023BioinformaticsWorkshop Series: Part One
Introduction to 10x Genomics Sequencing Protocols
Single Cell RNA-seq Data Analysis
February 2023REDCapIntroduction to REDCapIntroduction to REDCap
January 2021Data AnalyticsCase Illustrations of NLP in Clinical Research
May 2020HPCIntroduction to NVIDIA Parabricks
April 2020REDCapMaking the Most of REDCap: All About SurveysAll About REDCap Surveys
February 2020REDCapMaking the Most of REDCap: Beyond the BasicsREDCap Beyond the Basics
January 2020HPCOverview of CRI Computing InfrastructureOverview of CRI Computing Infrastructure
May 2019BioinformaticsAdvanced Interactive Data Visualizations with Python
March 2019Data AnalyticsUsing Natural Language Processing in Clinical Data AnalyticsUsing NLP in Clinical Data Analytics
February 2019BioinformaticsIntroduction to Reproducible Research via R Markdown
December 2018Grant PreparationIncluding Informatics in Grant ApplicationsIncluding Informatics in Grant Applications
November 2018Clinical DataUsing the CRDW and Cohort Discovery ToolsCRDW and Cohort Discovery
October 2018Guest TalkIntroduction to the Human Imaging Research OfficeIntroduction to HIRO
September 2018HPCParallel Computing 101Parallel Computing 101
August 2018Grant PreparationIncluding Informatics in Grant ApplicationsIncluding Informatics in Grant Applications
May 2018Clinical DataUsing the CRDW and Cohort Discovery ToolsCRDW and Cohort Discovery
April 2018HPCCRI Infrastructure and New Parallel StorageCRI Infrastructure and New Storage
March 2018BioinformaticsIntroduction to IPython and Pandas for BioinformaticsiPython and Pandas
February 2018Clinical DataStatistical Modeling with Clinical DataStatistical Modeling - Methods
Statistical Modeling - CRDW
December 2017Grant PreparationIncluding Informatics in Grant ApplicationsIncluding Informatics in Grant Applications
November 2017HPCComputing with the CRI: Storage, HPC, and Virtual ServersComputing with the CRI
October 2017BioinformaticsBiological Interpretation of Gene, Transcript, and Protein Expression Data with IPABiological Interpretation with IPA
September 2017Data AnalyticsUsing NLP in Clinical Data AnalyticsNLP in Clinical Research
August 2017Grant PreparationIncluding Informatics in Grant ApplicationsInformatics in Grants, Part 1
Informatics in Grants, Part 2
May 2017BioinformaticsGenomics Data VisualizationGenomics Data Visualization
April 2017HPCHPC Workshop: AdvancedHPC: Advanced
April 2017HPCHPC Workshop: BeginnerHPC: Beginner
November 2016BioinformaticsBiological Interpretation of Gene, Transcript, and Protein Expression Data with IPA--
November 2016Clinical DataOptimizing Data Requests for the CRDWOptimizing CRDW Requests
October 2016HPCIntroduction to Gardner: The CRI's New HPC ClusterIntroduction to Gardner
April 2016BioinformaticsBiological Interpretation of Gene, Transcript, and Protein Expression Data with IPA--
December 2015BioinformaticsAnnual Workshop: Bioinformatics Analysis of Integrative -Omics DataWorkshop Recap
October 2015BioinformaticsIntroductory Statistics with RIntroductory Statistics with R
September 2015BioinformaticsIntroduction to iPython and Pandas, Part IIiPython and Pandas, Part II
June and July 2015BioinformaticsIntroduction to iPython and Pandas, Part IiPython and Pandas, Part I
May 2015BioinformaticsIntroduction to Python Programming, Part IIIntroduction to Python, Part II
April 2015BioinformaticsIntroduction to Python Programming, Part I Introduction to Python, Part I
March 2015BioinformaticsAnalysis of Affymetrix Microarray Data with R and Bioconductor Analysis of Affymetrix Microarray Data
February 2015Bioinformatics, HPCIntroduction to CRI’s HPC Cluster for Bioinformatics Computing Introduction to CRI's HPC Cluster
January 2015BioinformaticsR Graphics for BioinformaticsR Graphics for Bioinformatics
December 2014BioinformaticsAnnual Workshop: Bioinformatics Analysis of High-Throughput Genomics DataWorkshop Recap
October 2014BioinformaticsVisual Exploration of Data with the Advanced R Graphics Library: ggplot2--
September 2014BioinformaticsIntroduction to R Programming, Part IIIntroduction to R Programming, Part II
August 2014BioinformaticsIntroduction to R Programming, Part IIntroduction to R Programming, Part I
July 2014BioinformaticsIntroduction to Python Programming, Part IIIntroduction to Python, Part II
June 2014BioinformaticsIntroduction to Python Programming, Part IIntroduction to Python, Part I
May 2014BioinformaticsIntroduction to Linux Command Line for BioinformaticsIntroduction to Linux for Bioinformatics
April 2014BioinformaticsAnalyzing Illumina RNA-Seq Data with the CRIAnalyzing Illumina RNA-Seq Data with the CRI 
March 2014BioinformaticsOverview and Tutorial of Lynx: An Integrated Systems Biology Platform for Analysis of Multi-Gene Disorders--
February 2014BioinformaticsAnalysis of Illumina Microarray Data with R and BioconductorAnalysis of Microarrays with R and Bioconductor
January 2014BioinformaticsHow to Use the CRI’s Computational Infrastructure for Bioinformatics AnalysisCRI Infrastructure for Bioinformatics, Part I and Part II
November 2013BioinformaticsIntroduction to Perl: Learning by ExampleIntroduction to Perl
October 2013BioinformaticsMaximizing the Biological Interpretation of Gene, Transcript, & Protein Expression Data with IPA--
September 2013BioinformaticsIntroduction to Python ProgrammingIntroduction to Python Programming
August 2013BioinformaticsIntroduction to R ProgrammingIntroduction to R Programming
June and July 2013BioinformaticsIntroduction to Linux Command Line for BioinformaticsIntroduction to Linux Command Line for Bioinformatics
May 2013BioinformaticsAnalyzing Illumina ChIP-Seq Data with the CRIAnalyzing Illumina ChIP-Seq Data with the CRI
April 2013Bioinformatics, HPCIntroduction to CRI’s HPC Cluster for Bioinformatics ComputingIntroduction to CRI's HPC for Bioinformatics
March 2013BioinformaticsAnalysis of Illumina Microarray Data with R and BioconductorAnalysis of Microarrays with R and Bioconductor
February 2013BioinformaticsAnalyzing Illumina RNA-Seq Data with the CRI Analyzing Illumina RNA-Seq Data
January 2013BioinformaticsAnalysis of Microarrays with R and BioconductorAnalysis of Microarrays with R and Bioconductor
November 2012BioinformaticsAnalyzing Illumina Whole Exome Data with the CRIAnalyzing Illumina Whole Exome Data with the CRI
September 2012BioinformaticsGalaxy: Web-based Bioinformatics Analysis & RNA-Seq Workflow ManagementGalaxy: Web-Based Bioinformatics Analysis
August 2012BioinformaticsAnalyzing Illumina RNA-Seq Data with the CRIAnalyzing Illumina RNA-seq Data
July 2012BioinformaticsAnalysis of Microarray Data with R and BioconductorAnalysis of Microarrays with R and Bioconductor