Fall Bioinformatics Seminars and Workshops

For more information, and to register, go to https://registration.genomecenter.ucdavis.edu/

 

So you want to do a Single Cell RNA-Seq Experiment

When:  Monday, November 6, 2017 1pm – 3pm

Where:  GBSF Auditorium

 

This FREE workshop is intended for those who are interested in and are in the planning stages of conducting a single-cell RNA-Seq experiment.  Topics to be discussed will include:

  • Experimental Design of scRNA-Seq experiments

  • Sample preparation, best practices

  • Single cell library prep and High throughput sequencing basics and choices

  • Cost estimation

  • Single Cell Analysis

    • Data cleanup and quality assurance

    • Mapping data

    • Assigning reads to cells and genes and counting

    • Analysis of single cell transcriptomics, tSNE plots, clustering, comparisons across samples

  • Downstream analysis/visualizations and tables

 

So you want to do an RNA-Seq Experiment/ Differential Gene Expression Analysis

When:  Tuesday, November 28, 2017 1pm – 3pm

Where:  GBSF Auditorium

 

This FREE workshop is intended for those who are interested in and are in the planning stages of conducting an RNA-Seq experiment.  Topics to be discussed will include:

  • Experimental Design of RNA-Seq experiment

  • Sample preparation, best practices

  • High throughput sequencing basics and choices

  • Cost estimation

  • Differential Gene Expression Analysis

    • Data cleanup and quality assurance

    • Mapping your data

    • Assigning reads to genes and counting

    • Analysis of differentially expressed genes

  • Downstream analysis/visualizations and tables

 

December 18-20:  Single Cell RNA-Seq Workshop

 

Presented topics will include experimental design, data generation, and analysis of single cell RNA sequencing data (primarily generated using the 10x platform) on the command line and within the R statistical programming language. Participants will explore software and protocols, create and modify workflows, and diagnose/treat problematic data utilizing high performance computing services. Exercises will be performed on the command line and within R with a provided dataset. The primary packages used for analysis will be 10x software (for sequence reads to counts) and the R package Seurat for downstream analysis. The final half day will include a seminar and analysis presentation by 10X Genomics (https://www.10xgenomics.com/single-cell/).

 

Registration will be opening very soon!

For more information, go to http://bioinformatics.ucdavis.edu/single-cell-rna-seq-workshop-in-december/.

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