tv.qiagenbioinformatics.com marketingbiox@qiagen.com https://tv.qiagenbioinformatics.com Watch tutorials, interviews and much more on our web based TV channel! en-us Visualplatform http://blogs.law.harvard.edu/tech/rss tv.qiagenbioinformatics.com CLC bio TV Watch tutorials, interviews and much more on our web based TV channel! clc bio tv, bioinformatics, genomics, research episodic no https://tv.qiagenbioinformatics.com/files/rv0.0/sitelogo.gif https://tv.qiagenbioinformatics.com http://tv.qiagenbioinformatics.com/photo/68056131/supporting-biomarker-discovery-one <p>Single-cell gene expression analysis helps biologists and bioinformaticians reveal complex and rare cell populations, uncover regulatory relationships among genes and analyze and visualize gene expression differences among different cell types, or within a unique cell type. In this talk we will explore new tools for analyzing, interpreting and explore scRNA-seq data and the underlying biology. We will also show how to integrate ‘omics datasets from different platforms to gain insights into the biology and molecular drivers of specific cell populations.<br> Objectives:<br> How to analyze scRNA-seq data without a bioinformatician or learning code.<br> How to leverage automatic cell annotation to streamline your workflow.<br> How to quickly comb millions of cells to identify <p>Click <a href="https://digitalinsights.qiagen.com/research-and-discovery/single-cell-genomics//?cmpid=CM_QDI_DISC_SC-webinar-labroots_0421_QDI_tvsite_SClabroots_&amp;utm_source=tvsite_&amp;utm_campaign=SC-Labroots">here</a>&nbsp;to learn more.</p></p><p><a href="http://tv.qiagenbioinformatics.com/photo/68056131/supporting-biomarker-discovery-one"><img src="http://tv.qiagenbioinformatics.com/64968560/68056131/21d5bf1278130e749c8e5c5bfe28b2c9/standard/download-6-thumbnail.jpg" width="600" height="337"/></a></p> http://tv.qiagenbioinformatics.com/photo/68056131 Mon, 25 Aug 2025 10:45:44 GMT Supporting Biomarker Discovery One Cell at a Time - Introduction to QIAGEN... Single-cell gene expression analysis helps biologists and bioinformaticians reveal complex and rare cell populations, uncover regulatory relationships among genes and analyze and visualize gene expression differences among different cell types, or within a unique cell type. In this talk we will explore new tools for analyzing, interpreting and explore scRNA-seq data and the underlying biology. We will also show how to integrate ‘omics datasets from different platforms to gain insights into the biology and molecular drivers of specific cell populations. Objectives: How to analyze scRNA-seq data without a bioinformatician or learning code. How to leverage automatic cell annotation to streamline your workflow. How to quickly comb millions of cells to identify Click hereto learn more. Single-cell gene expression analysis helps biologists and bioinformaticians reveal complex and rare cell populations, uncover regulatory relationships among genes and analyze and visualize gene expression differences among different cell types, or... tv.qiagenbioinformatics.com 16:12 <p>Single-cell gene expression analysis helps biologists and bioinformaticians reveal complex and rare cell populations, uncover regulatory relationships among genes and analyze and visualize gene expression differences among different cell types, or within a unique cell type. In this talk we will explore new tools for analyzing, interpreting and explore scRNA-seq data and the underlying biology. We will also show how to integrate ‘omics datasets from different platforms to gain insights into the biology and molecular drivers of specific cell populations.<br> Objectives:<br> How to analyze scRNA-seq data without a bioinformatician or learning code.<br> How to leverage automatic cell annotation to streamline your workflow.<br> How to quickly comb millions of cells to identify <p>Click <a href="https://digitalinsights.qiagen.com/research-and-discovery/single-cell-genomics//?cmpid=CM_QDI_DISC_SC-webinar-labroots_0421_QDI_tvsite_SClabroots_&amp;utm_source=tvsite_&amp;utm_campaign=SC-Labroots">here</a>&nbsp;to learn more.</p></p><p><a href="http://tv.qiagenbioinformatics.com/photo/68056131/supporting-biomarker-discovery-one"><img src="http://tv.qiagenbioinformatics.com/64968560/68056131/21d5bf1278130e749c8e5c5bfe28b2c9/standard/download-6-thumbnail.jpg" width="600" height="337"/></a></p> biomarker labroots omicsoft omicsoft webinar single-cell Single Cell Land webinar http://tv.qiagenbioinformatics.com/photo/87335188/delving-into-public-single-cell <p>Single-cell RNA-sequencing (scRNA-seq) is widely used to study tissue heterogeneity, identify novel cell types, study pathogenic mechanisms, develop targeted therapies (including immunotherapy) and more. Accordingly, scientists have deposited a tremendous amount of scRNA-seq data into public domains like GEO.</p> <p>In this training, you will learn how to:</p> <p>· Locate public single-cell studies of interest to you using QIAGEN Omicsoft Single Cell Lands</p> <p>· Study different cell types by dimension reduction plots (for example, t-SNE, UMAP)</p> <p>· Investigate expression of genes of interest across different cell types (Violin plots, overlay expression on cluster)</p> <p>· Identify key pathways and regulators from scRNA-seq data using QIAGEN IPA</p><p><a href="http://tv.qiagenbioinformatics.com/photo/87335188/delving-into-public-single-cell"><img src="http://tv.qiagenbioinformatics.com/64968556/87335188/bac5b674061ff23525c2013144b45f66/standard/download-9-thumbnail.jpg" width="75" height=""/></a></p> http://tv.qiagenbioinformatics.com/photo/87335188 Fri, 28 Jul 2023 16:34:04 GMT Delving into public single-cell RNA-seq data using QIAGEN OmicSoft and... Single-cell RNA-sequencing (scRNA-seq) is widely used to study tissue heterogeneity, identify novel cell types, study pathogenic mechanisms, develop targeted therapies (including immunotherapy) and more. Accordingly, scientists have deposited a tremendous amount of scRNA-seq data into public domains like GEO. In this training, you will learn how to: · Locate public single-cell studies of interest to you using QIAGEN Omicsoft Single Cell Lands · Study different cell types by dimension reduction plots (for example, t-SNE, UMAP) · Investigate expression of genes of interest across different cell types (Violin plots, overlay expression on cluster) · Identify key pathways and regulators from scRNA-seq data using QIAGEN IPA Single-cell RNA-sequencing (scRNA-seq) is widely used to study tissue heterogeneity, identify novel cell types, study pathogenic mechanisms, develop targeted therapies (including immunotherapy) and more. Accordingly, scientists have deposited a... tv.qiagenbioinformatics.com 01:29:13 <p>Single-cell RNA-sequencing (scRNA-seq) is widely used to study tissue heterogeneity, identify novel cell types, study pathogenic mechanisms, develop targeted therapies (including immunotherapy) and more. Accordingly, scientists have deposited a tremendous amount of scRNA-seq data into public domains like GEO.</p> <p>In this training, you will learn how to:</p> <p>· Locate public single-cell studies of interest to you using QIAGEN Omicsoft Single Cell Lands</p> <p>· Study different cell types by dimension reduction plots (for example, t-SNE, UMAP)</p> <p>· Investigate expression of genes of interest across different cell types (Violin plots, overlay expression on cluster)</p> <p>· Identify key pathways and regulators from scRNA-seq data using QIAGEN IPA</p><p><a href="http://tv.qiagenbioinformatics.com/photo/87335188/delving-into-public-single-cell"><img src="http://tv.qiagenbioinformatics.com/64968556/87335188/bac5b674061ff23525c2013144b45f66/standard/download-9-thumbnail.jpg" width="75" height=""/></a></p> omicsoft webinar rna-seq single cell land