Events by this organizer

Many new studies include RNA sequencing data. In this webinar we will go through the process of downloading and importing SRA data using the SRA toolkit, how to use an aligner to convert fastq files into BAM files and then how to import and normalize the BAM files in Omics Explorer. We will also show how you can download GEO soft files, TCGA mRNA data from GDAC and import 10X Genomics Cellranger data.

Powerful and Intuitive Gene Expression Visualization Tools to Interpret Biological Signals – Bulk and Single Cell Data

The increasing use of genomic technologies, such as RNA-Seq and single cell RNA-Seq, to assess gene expression patterns has led to an unprecedented amount of data. For many, the size and complexity of these data sets make it challenging to see the biological signals. But not anymore.

The visualization tools in Partek^® Flow^® provide the flexibility needed to display gene expression results ready for publication. Our powerful, interactive plots also facilitate novel discovery and provide fast and accurate QAQC. Together with the easy-to-use point and click interface, Partek Flow allows you to answer more questions and move forward with your research.

In this webinar, you will learn how to visualize gene expression data using:

• Feature distribution plots
• Sample correlation plots
• Volcano plots
• Chromosome view
• Dot plots
• Violin plots
• Hierarchical clustering
• PCA
• t-SNE
• Customizable scatterplots

WebEx link: https://cbiit.webex.com/cbiit/j.php?MTID=m634db94c7c42f1eb6dcf1850c27bd2c6

This webinar will discuss the various single cell RNA-Seq data formats and how to process them with Partek Flow.

You will learn about:

• Single cell data file formats .h5, .fastq, .tsv, .mtx, .bcl
• Trimming tags
• Alignment
• Deduplicating UMI
• Filtering barcodes (cells)
• Knee plots

Sarah Teichmann, Ph.D., Fellow of the Academy of Medical Sciences (UK FMedSci), Fellow of the Royal Society (FRS), Wellcome Sanger Institute

Sarah Teichmann is co-founder and principal leader of the Human Cell Atlas (HCA) international consortium. The International Human Cell Atlas initiative aims to create comprehensive reference maps of all human cells to further understand health and disease.

The team’s research focuses on four complementary study areas:

• Transcriptional regulation and gene expression
• Single-cell genomics
• Immunology
• Protein complexes