What’s new in QIAGEN CLC Genomics Workbench version 24 - EMEA/APAC
2024-01-30 10:00 - 11:00 (Europe/Paris) | Virtual - EMEA - CET
QIAGEN CLC Genomics Workbench version 24 is here with exciting updates we'd like to share with you. These include:

Our QIAGEN CLC LightSpeed Module which now provides ultrafast somatic workflows
Spatial Transcriptomics and ParseBio support in QIAGEN CLC Single Cell Analysis Module
Amplicon classification for ONT reads in QIAGEN CLC Microbial Genomics Module
New Structural variant detection for long read and De novo assembly of PacBio HiFi reads
Importer for Element, PacBio Onso, Ultima reads, Singular
CRAM format importer / exporter
Fancy new interactive RNAseq Volcano plot for RNAseq
And many more new and improved workflow and reporting capabilities

Join this webinar to:

Learn how to take advantage of the latest improvements
Get an overview of the many tools available to you
Make sure to join this webinar to elevate your understanding of current trends in bioinformatics

Can't make it at this time? Don't worry. Register now and we will send you the on-demand recording so you can catch up on what you missed.

What’s new in QIAGEN CLC Genomics Workbench version 24 - NA/LATAM
2024-01-30 13:00 - 14:00 (America/New_York) | Virtual - Americas - EST, United States

New user training: Large dataset analysis and knowledge base queries using QIAGEN Ingenuity Pathway Analysis (IPA)
2024-02-08 13:00 - 15:00 (America/New_York) | Virtual - Americas - EST, United States
Join us for a 120-minute training session for new users of QIAGEN IPA.
In this training, you’ll learn how to:
• Upload your dataset (RNA-seq, scRNA-seq, proteomics, metabolomics and more) and perform interactive core/pathway analysis in IPA
• Understand the different result types produced (pathways, key regulators, impact on biological functions/diseases and more)
• Compare different experimental conditions (treatments, time points, single-cell clusters, disease types and more) and identify similarities and contrasts
• Generate a network even without a dataset or experimental design for hypothesis generation

Long reads analysis using CLC Genomics workbench (with new features - 2024)
2024-02-13 13:00 - 14:30 (America/New_York) | Virtual - Americas - EST, United States
This webinar will introduce users to the long read support plugin for Oxford Nanopore and PacBio sequencing reads in QIAGEN CLC Genomics Workbench.
Participants will learn the following:
• Download and install needed plugins.
• Import data required for the analysis.
• Long read de novo assembly.
• Map reads to a reference and visualize an assembly.
• Use BLAST to investigate the contigs.
• Additional long read tools: polish with short reads, structural variant calling.
• Genome finishing tools: analyze and assemble contigs
• Analytical tools: RNA-seq analysis for long reads, classify long read amplicons for metagenomics.

Introduction to Analysis Match in IPA - Compare your gene and protein expression data to over 100.000 published experimental data
2024-02-14 10:00 - 11:00 (America/New_York) | Virtual - Americas - EST, United States
With all the expression datasets that are available to the public, wouldn’t it be great to compare them to your own expression data, so you could get a better understanding of the underlying biology of your data?
With QIAGEN IPA Analysis Match, you can compare your expression data with well over 100,000 publicly available datasets that have been processed and analyzed in IPA, as well as all the IPA analyses that you have performed to date.
In this webinar, we will cover how Analysis Match works and demonstrate this feature with a live demonstration. Feel free to follow along with your analysis and ask questions along the way!

Introduction to Analysis Match in IPA - Compare your gene and protein expression data to over 100.000 published experimental data
2024-02-14 16:00 - 17:00 (Europe/Paris) | Virtual - EMEA - CET

Single Cell RNA-Seq, Cell Hashing, and Spatial Transcriptomics
2024-02-15 08:00 - 17:00 UTC
In this training, you will learn how to analyze and interpret your own single-cell RNA-seq data using QIAGEN CLC Genomics Workbench starting with either FASTQ or matrix files.
Using CLC Genomics Workbench, you will learn how to perform secondary analysis on your single-cell RNA-seq data. Specifically, you will learn how to:
• Import your raw FASTQ or processed cell-matrix files.
• Use pre-configured but customizable pipelines/workflows for single-cell RNA-seq data.
• Generate high-resolution visuals and other files from your analysis for publications and biopharmaceutical discoveries.
o Dimension reduction (UMAP, t-SNE) plots
o Differential expression table for clusters, cell types, or a combination of both
o Heat map
o Dot plots
o Violin plots
• Learn how to use “Create Cell Annotations from Hashtags” for cell hashing (i.e., CITE-seq).
• Dive into spatial transcriptomic analysis, the latest feature in the single cell RNA-seq module.

ATCC cell line data utilization for cell line selection, validation and other applications
2024-02-15 13:00 - 14:30 (America/New_York) | Virtual - Americas - EST, United States
Cancer cell line models have been a cornerstone of cancer research for decades. Profiling cancer cell lines can be a powerful tool to identify gene alterations or cancer-related pathways and aid in discovering putative drug targets. In this webinar, we'll use QIAGEN OmicSoft Lands and QIAGEN Ingenuity Pathway Analysis (IPA) to help you select cell lines and translate insights from your cell line experiments for drug target discovery.
During this 90-minute discussion, we'll explore how you can use these software tools to:
• Select appropriate cancer cell lines for a variety of applications such as drug discovery, precision disease modeling, understanding gene function in cancer, immune-oncology research and more
• Examine various 'omics data for genes of interest for expression, mutation, hotspots and gene dependency data
• Generate networks for hypotheses and test them in silico to improve the translation of insights derived from cell line models to the drug target identification
• Integrate analyses of public 'omics data and drug response phenotypes using cell line model systems by exploring data from the Library of Integrated Network-Based Cellular Signatures (LINCS)
• Prioritize drug targets and profile phenotypic/downstream effects of drug action by overlaying public data on user-generated networks
Our system uses millions of curated literature findings from QIAGEN Knowledge Base and the OmicSoft digital warehouse. This discussion is intended for both those familiar with QIAGEN IPA and newcomers interested in learning more.

Mining curated knowledge graphs and validating with experimental datasets to accelerate your drug target discovery
2024-02-20 13:00 - 14:30 (America/New_York) | Virtual - Americas - EST, United States
In an era of near-limitless public experimental data but little standardization, meaningful insights are lost to noise. Large collections of quality experimental data are essential for big-picture discoveries that stand up to scrutiny.
In this webinar, you will learn how to feed your drug discovery programs by integrating connections mined from QIAGEN Biomedical Knowledge Base with deeply curated disease datasets from QIAGEN OmicSoft Lands.
Combining unified 'omics datasets with contextual relationship evidence from our knowledge graph, we will address complex questions such as:

Which genes aren't expressed in normal tissue, yet are expressed in diseases of interest, based on experimental evidence?
Which of these proteins are cell surface proteins, with evidence for extracellular localization?
How are these proteins related directly or indirectly to disease pathways, and can these be connected to known drug targets?
Can we identify correlated biomarkers, mutation targets, clinical factors or other means of cohort selection?

How biopharmaceutical companies can leverage expert-curated knowledge from Wellcome Sanger Institute and QIAGEN to accelerate cancer drug discovery and development
2024-02-21 09:00 - 10:00 (America/New_York) | Virtual - Americas - EST, United States
The cancer drug discovery landscape is shifting. While research continues to grow in cost and complexity, the pace of development has never been faster. Biopharmaceutical companies can’t afford to waste time and resources pursuing ineffective or unsafe ideas.
In this talk, our experts discuss how biopharmaceutical companies can leverage key genomic, biomedical, and clinical trial databases to improve and accelerate cancer drug discovery while avoiding potential pitfalls. Through a series of use cases, attendees will learn about expert-curated knowledge from the Wellcome Sanger Institute and QIAGEN, and how to use these resources to better predict cancer-driving effects of mutations, identify available drugs that target specific variants, and accelerate indication expansion and repurposing of existing cancer therapies.
Learning objectives:
1. Examine use-cases of how to leverage expert-curated databases across multiple phases of cancer drug development.
2. Discover key applications of these databases, including determining the function, frequency, and actionability of specific mutations.
3. Discuss potential pitfalls and clinical consequences, and how to avoid them early with data-driven drug target and biomarker qualification.

Public single-cell RNA-seq data investigation using QIAGEN Omicsoft and Ingenuity Pathway Analysis
2024-02-27 13:00 - 14:30 (America/New_York) | Virtual - Americas - EST, United States
Single-cell RNA-sequencing (scRNA-seq) is widely used to investigate tissue heterogeneity, identify novel cell types, study pathogenic mechanisms, develop targeted therapy (including immunotherapy) and more. Accordingly, a tremendous amount of scRNA-seq data has been deposited to public domains like GEO. In this training, you will learn how to · Locate public single-cell studies of interest 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 Ingenuity Pathway Analysis (IPA)

Biomarker discovery, target validation, and variant identification using QIAGEN OmicSoft DiseaseLand, Human Gene Mutation Database, and Ingenuity Pathway Analysis
2024-02-29 13:00 - 14:30 (America/New_York) | Virtual - Americas - EST, United States
In this webinar, users will learn how to leverage solutions from QIAGEN Digital Insights to discover biomarkers, validate targets, and identify variants. Specifically, users will learn:
1. How to locate public studies of interest using OmicSoft DiseaseLand.
2. Investigate the expression of genes of interest across different treatments, disease states, etc.
3. Identify variants of interest for candidate biomarkers and targets using the Human Gene Mutation Database.
4. Leveraging the QIAGEN Knowledgebase in Ingenuity Pathway Analysis to explore and extend findings from OmicSoft DiseaseLand and Human Gene Mutation Database.
5. Learn about additional methods to access data from OmicSoft, Human Gene Mutation Database, and Ingenuity Pathway Analysis for data scientists.

New user training: Large dataset analysis and knowledge base queries using QIAGEN Ingenuity Pathway Analysis (IPA)
2024-03-06 13:00 - 15:00 (America/New_York) | Virtual - Americas - EST, United States
Join us for a 120-minute training session for new users of QIAGEN IPA.
In this training, you’ll learn how to:

Upload your dataset (RNA-seq, scRNA-seq, proteomics, metabolomics and more) and perform interactive core/pathway analysis in IPA
Understand the different result types produced (pathways, key regulators, impact on biological functions/diseases and more)
Compare different experimental conditions (treatments, time points, single-cell clusters, disease types and more) and identify similarities and contrasts
Generate a network even without a dataset or experimental design for hypothesis generation
For those with an IPA license,
To install IPA before or after this training, please use the below installer.
https://qiagen.showpad.com/share/CBv30blCPKFDUYHRWtAvI

Using COSMIC to predict, identify, and avoid mutational consequences of cancer therapies during early drug development and in patients
2024-03-07 11:00 - 12:00 (America/New_York) | Virtual - Americas - EST, United States
Whether your lab is researching and developing targeted cancer therapies or you are analyzing and interpreting diagnostic tests at the point-of-care, a critical part of your workflow is understanding the structural and functional impact of cancer-related mutations.
The Catalogue Of Somatic Mutations In Cancer (COSMIC) is an expert-curated database encompassing a wide variety of somatic mutation mechanisms causing human cancer. Containing more than 24 million somatic variants with detailed information on mutation distribution, effects, and signatures, COSMIC helps users better predict the cancer-driving effects of mutations and identify available drugs that target specific variants. COSMIC continues to expand its utility with continuous updates to its Mutational Signatures, the Cancer Mutation Census, and Mutation Actionability in Precision Oncology products.
To illustrate key applications of these features, this webinar will focus on how COSMIC can be used to avoid mutational consequences in cancer drug development and to detect mutational consequences of therapies in clinical diagnostics.
Through these clinical and discovery use cases, attendees will:

Learn how to use COSMIC to identify and prioritize coding and non-coding mutational hotspots
Understand how COSMIC helps determine actionability of clinically approved homologous recombination deficiency signatures
Explore future uses of non-coding and signature-based COSMIC content for drug development and potential clinical diagnostic applications

Using ATCC cell line data for cell line selection, validation and other applications
2024-03-14 13:00 - 14:30 (America/New_York) | Virtual - Americas - EST, United States
Cancer cell line models have been a cornerstone of cancer research for decades. Profiling cancer cell lines can be a powerful tool to identify gene alterations or cancer-related pathways and aid in discovering putative drug targets. In this webinar, we'll use QIAGEN OmicSoft Lands and QIAGEN Ingenuity Pathway Analysis (IPA) to help you select cell lines and translate insights from your cell line experiments for drug target discovery.
During this 90-minute discussion, we'll explore how you can use these software tools to:
• Select appropriate cancer cell lines for a variety of applications such as drug discovery, precision disease modeling, understanding gene function in cancer, immune-oncology research, and more
• Examine various 'omics data for genes of interest for expression, mutation, hotspots, and gene dependency data
• Generate networks for hypotheses and test them in silico to improve the translation of insights derived from cell line models to drug target identification
• Integrate analyses of public 'omics data and drug response phenotypes using cell line model systems by exploring data from the Library of Integrated Network-Based Cellular Signatures (LINCS)
• Prioritize drug targets and profile phenotypic/downstream effects of drug action by overlaying public data on user-generated networks
Our system uses millions of curated literature findings from the QIAGEN Knowledge Base and the OmicSoft digital warehouse. This discussion is intended for both those familiar with QIAGEN IPA and newcomers interested in learning more.

Expert Roundtable: Advances in Genomic Testing for Rare Disease Diagnostics
2024-03-21 11:00 - 12:00 UTC
Over the past decade, whole-exome and whole-genome sequencing have transformed the diagnosis of patients with suspected rare genetic diseases. However, despite recent advancements, a large number of patients with rare genetic diseases remains undiagnosed for years because they have limited access to comprehensive genomic testing.
In this virtual roundtable of leading rare disease experts, panelists will discuss:

The state of clinical genomic testing for rare disease at their institutions.
How recent advances in sequencing technology and data analysis, including artificial intelligence (AI), are increasing diagnostic rate.
How barriers to patient access to testing can be removed to improve the care of all people living with rare genetic diseases.

Panelists:
Danny E. Miller, MD, PhD
Assistant Professor, Department of Pediatrics, Division of Genetic Medicine, University of Washington
Vaidehi Jobanputra, PhD, FACMG
Associate Professor of Pathology and Cell Biology, Columbia University Medical Center
Gilad D. Evrony, MD, PhD
Assistant Professor, Departments of Pediatrics and Neuroscience and Physiology, NYU School of Medicine

Malte Spielmann, MD, PhD
Professor of Human Genetics, University Hospital Schleswig-Holstein, Germany

Agilent Alissa to QCI Interpret: How can your lab reduce the stress and complexity of transitioning to a new clinical informatics platform?
2024-03-26 11:00 - 12:00 (America/New_York) | Virtual - Americas - EST, United States
In 2023, Agilent announced the discontinuation of their Alissa Interpret clinical informatics platform by the end of 2024. As a result, many of their current customers need to transition to a new variant interpretation and reporting software within a tight timeframe. However, when evaluating new interpretation solutions, clinical labs must consider a variety of factors, including:

Content quality for clinical reporting
Flexibility to adapt current workflows to a new platform
Retaining historical content and comments
Ease of personnel training

In this webinar, learn about QCI Interpret, a panel- and sequencer-agnostic clinical informatics platform for NGS variant interpretation and reporting of germline and somatic tests. Our experts will address the concerns of current Agilent Alissa users and discuss what sets QCI Interpret apart from other interpretation solutions. In addition, we will show you how seamless it is to transition your historical data and comments into QCI Interpret, as well as provide a live demonstration of the industry-leading and reliable software that has been used to analyze and interpret more than 3.5 million patient test cases worldwide.

Single-Cell RNA-Seq, Cell Hashing, and Spatial Transcriptomics
2024-03-26 13:00 - 14:30 (America/New_York) | Virtual - Americas - EST, United States
A slide illustrating some of the many result types/graphics you will be able to generate after this training. https://qiagen.showpad.com/share/jYTCDPNfz1SdIMPQPSPYS Description: In this training, you will learn how to analyze and interpret your own single-cell RNA-seq data using QIAGEN CLC Genomics Workbench, starting with either FASTQ or matrix files. Using CLC Genomics Workbench, you will learn how to perform secondary analysis on your single-cell RNA-seq data. Specifically, you will learn how to: • Import your raw FASTQ or processed cell-matrix files • Use pre-configured but customizable pipelines/workflows for single-cell RNA-seq data • Generate high-resolution visuals and other files from your analysis for publications and biopharmaceutical discoveries o Dimension reduction (UMAP, t-SNE) plots o Differential expression tables for clusters, cell types, or a combination of both o Heat map o Dot plots o Violin plots • Learn how to use “Create Cell Annotations from Hashtags” for cell hashing, as with CITE-seq • Dive into spatial transcriptomic analysis, the latest feature in the single-cell RNA-seq module

Multi-omics (metabolomics, proteomics, transcriptomics) analysis using QIAGEN Ingenuity Pathway Analysis
2024-03-28 13:00 - 14:30 (America/New_York) | Virtual - Americas - EST, United States
This 90-minute training session will show you how QIAGEN Ingenuity Pathway Analysis (IPA) visualizes molecular intricacies and variations at the transcriptome, proteome and metabolome levels. Through a series of brief technical vignettes, you will learn how to: • Generate associations among molecular signatures obtained by integrating multi-omics data • Extract mechanisms from multi-omics data for precision medicine • Disease stratification based on multi-omics profiles • Map disease networks among targets and indications

How to scale-up comprehensive genomic profiling and deliver confident variant interpretations with QCI Interpret for Oncology
2024-04-04 13:00 - 14:00 (America/New_York) | Virtual - Americas - EST, United States
In this webinar, attendees will learn how QCI Interpret for Oncology enables you to:

Navigate from VCF to final report with speed, precision, and confidence;
Easily issue report addendums without the need for re-running a VCF;
Streamline structural variant filtering based on user-set thresholds and hence reduce the time and effort needed to eliminate noise and identify truly relevant variants for reporting;
Utilize built-in AI capabilities to identify all the literature, case reports, drug therapies, and clinical studies relevant to a patient’s tumor type with just one click.

QIAGEN Ingenuity Pathway Analysis (IPA) new user training
2024-04-04 13:00 - 15:00 (America/New_York) | Virtual - Americas - EST, United States
Large dataset analysis and exploring the knowledge base using QIAGEN Ingenuity Pathway Analysis (IPA)
Join us for a 120-minute training session for new users of QIAGEN IPA.
In this training, you’ll learn how to:
• Upload your dataset (RNA-seq, scRNA-seq, proteomics, metabolomics and more) and perform interactive core/pathway analysis in IPA
• Understand the different result types produced (pathways, key regulators, impact on biological functions/diseases and more)
• Compare different experimental conditions (treatments, time points, single-cell clusters, disease types and more) and identify similarities and contrasts
• Generate a network even without a dataset or experimental design for hypothesis generation
For those with IPA licenses: download the installer from the link below to install IPA before or after the training.
https://qiagen.showpad.com/share/CBv30blCPKFDUYHRWtAvI
To learn more about IPA or request a trial: https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/analysis-and-visualization/qiagen-ipa/?cmpid=CM_QDI_DISC_042024webinars-NUT

Human Genome Meeting 2024
2024-04-08 - 2024-04-10 | Rome, Italy, Rome, Italy
This year at the Human Genome Meeting (HGM), QIAGEN will be showcasing our Sample to Insight solutions for whole genome, exome, and large panel sequencing for oncology and inherited disease applications. Learn more about our products and solutions and receive complimentary demos of our bioinformatic software and databases. Our experts will be available to chat with you and answer any questions you may have. We look forward to seeing you at HGM 2024.

Don't miss the QIAGEN symposium!

Join Dr. Michela Bulfoni of the Istituto di Anatomia Patologica Azienda Sanitaria Universitaria Friuli Centrale, Udine, as she discusses how her lab is using Sample to Insight solutions from QIAGEN, including two custom NGS panels, CLC Genomics Workbench, and QCI Interpret, to perform tumor molecular profiling as a routine part of clinical diagnostics.

Integrating deeply curated omics data with APIs for biomarkers and drug target investigation
2024-04-09 13:00 - 14:00 (America/New_York) | Virtual - Americas - EST, United States
This webinar is for data scientists and bioinformaticians who need extensive high-quality omics data to target discovery efforts. Learn how to programmatically discover, retrieve, filter, aggregate and analyze omics (RNA-seq, scRNA-seq, microarray, proteomics etc.) data from QIAGEN’s comprehensive repository of deeply curated multi-omics data. Attendees will learn how to leverage extensive metadata to find and combine datasets of interest, find and test signatures, and perform custom analyses to reveal disease-related patterns.
Join us to learn how QIAGEN OmicSoft Lands API can revolutionize your data analysis workflows and help you make more informed decisions. Topics to be covered:
• Search for gene signatures to find relevant datasets through Gene Set Analysis
• Identify the correlation of results
• Find multiple datasets with the same metadata (metadata refers to cell type, tissue, disease, drug treatment etc., associated with public data)
• Perform meta-analysis for novel discoveries
• Test cell specificity with custom aggregation

Gene set enrichment, target validation and more using high quality biomedical literature findings
2024-04-11 13:00 - 14:00 (America/New_York) | Virtual - Americas - EST, United States
This 60-minute session will teach you how to effectively use a relationship database for various applications. QIAGEN Biomedical Knowledge Base (Biomedical KB), a database containing high-quality relationship literature findings, the same database backing Ingenuity Pathway Analysis/IPA) will be used, but learnings can also be applied to similar databases.
The following points will be discussed:
• Gene set enrichment analysis using Biomedical KB
• Target validation through Biomedical KB findings
• Potential other use cases, queries and applications requested by registrants

Germline and Somatic Variant Investigation using COSMIC, HGMD and QCI-IT
2024-04-16 13:00 - 14:00 (America/New_York) | Virtual - Americas - EST, United States
The accurate identification and annotation of germline and somatic variants rely on the accuracy and depth of reference databases that contain information about the genetic variants, any associated phenotype, and their clinical implications. By combining COSMIC, HGMD and QIAGEN QCI-IT, scientists can annotate gene variants using the world’s most comprehensive and up-to-date curated scientific evidence and find biological connections in gene variants with manually curated scientific findings. The software and databases allow you to get valuable and reliable insights for your research project and speed up your discoveries related to disease-causing and disease-associated germline and somatic variants.
In this training, you will:
1. Learn about COSMIC, the world’s largest, most comprehensive, expert-curated resource for somatic mutations in human cancers, and how COSMIC can help you identify variants of interest for cancer research.
2. Hear about the breadth and depth of HGMD (Human Gene Mutation Database) and how HGMD can aid in your search for disease-causing and disease-associated germline mutations.
3. Explore the capabilities of QCI-IT, which can help accelerate your discoveries from hereditary or tumor cohort analyses, and find associations between gene variants and diseases from VCF files.
To learn more about the products or request for a trial:
COSMIC: https://digitalinsights.qiagen.com/products-overview/cosmic/?cmpid=CM_QDI_DISC_042024webinars
HGMD: https://digitalinsights.qiagen.com/products-overview/clinical-insights-portfolio/human-gene-mutation-database/?cmpid=CM_QDI_DISC_042024webinars
QCI-IT: https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/qci-interpret-translational/?cmpid=CM_QDI_DISC_042024webinars

Ai and Data in Pharma Healthcare Summit
2024-04-18 - 2024-04-19 | Munich, Munich, Germany

Nordic Precision Medicine Forum 2024
2024-04-22 - 2024-04-23 | Stockholm, Stockholm, Sweden

Swiss Biotech Day 2024
2024-04-22 - 2024-04-23 | Basel, Basel, Switzerland

DNA-seq analyses (whole genome, whole exome, panel) using QIAGEN CLC Genomics Workbench
2024-04-23 13:00 - 14:30 (America/New_York) | Virtual - Americas - EST, United States
In this training, we’ll go over how to easily perform DNA-seq analyses (for whole genome, whole exome, panel and similar) easily and effectively using QIAGEN CLC Genomics Workbench.
Together, we’ll explore:
• Read mapping
• Variant calling (SNPs, mutations, Indels and more)
• Annotations and filters
• Genome Browser
Please bring any questions you may have, and we will answer them during this training. To learn more about CLC Genomics Workbench or request for a trial:
https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/analysis-and-visualization/qiagen-clc-workbench-premium/?cmpid=CM_QDI_DISC_042024webinars-DNAseq

IPA deep dive: miRNA investigation using QIAGEN Ingenuity Pathway Analysis (IPA)
2024-04-30 13:00 - 14:30 (America/New_York) | Virtual - Americas - EST, United States
In this 90-minute training session, you will learn how to identify target mRNAs for your miRNAs of interest and associate them with pathways, diseases, biological functions, tissues and cell types.
We’ll cover topics such as:
• How to analyze miRNA-seq datasets alone or both miRNA and corresponding mRNA datasets together
• How to use QIAGEN IPA without a dataset, using miRNA IDs
• Introduction to databases and curated content specific to miRNA
• How to effectively apply various filters and functionalities to identify biomarkers, key targets and biological mechanisms
To learn more about IPA or request for a trial:
https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/analysis-and-visualization/qiagen-ipa/?cmpid=CM_QDI_DISC_042024webinars-miRNA
