tv.qiagenbioinformatics.com

OmicSoft Explorer Hands-on Workshop: Easily search and interpret deeply...

Fri, 27 Feb 2026 15:25:25 GMT

This hands-on workshop will cover a highly requested use case using OmicSoft Explorer and IPA Interpret, two new features that QIAGEN IPA* and OmicSoft customers can now access.

Specifically, the trainer will go over how to:

Easily search for deeply curated high-quality 'omics datasets (RNA-seq, scRNA-seq, etc.) based on user-defined criteria (disease name, drug treatment, etc.) curated from sources such as GEO, SRA, TCGA and more
Explore project details to gain a better understanding of the experimental setup and sample metadata
Study volcano plots to identify biomarkers associated with conditions of interest
Generate sharable pathway analysis reports that provide insights into disease pathology, drug mechanism of action, cellular processes and more

*with a premium license.

IPA Interpret and OmicSoft Explorer are now available through both IPA and OmicSoft. Learn more.

QIAGEN OmicSoft trainings- 3 part series - Oct 21 (part 2)

Wed, 28 Jan 2026 21:54:33 GMT

In three separate 60-minute trainings, attendees will learn how to use basic expression analysis functionalities in QIAGEN OmicSoft OncoLand, DiseaseLand and OmicSoft Studio. QIAGEN OmicSoft Single Cell Land will also be discussed in OncoLand and DiseaseLand trainings, focusing on public single-cell data.

Day 2: Biomarker discovery with QIAGEN OmicSoft DiseaseLand

Leverage DiseaseLand’s repositories of non-oncological diseases such as cardiovascular, metabolic, neurological, gastrointestinal, liver and more to:

• Discover and validate biomarker expression in diseases, disease subtypes, treatments, cell types, etc.
• Identify a list of biomarkers specifically expressed in disease, treatment group, cell type or other condition of interest
• Overlay expression of a gene on cell clusters of interest from public single-cell data

May 2020 IPA-OS UGM - 1.OmicSoft Core Capabilities Training - Features that...

Wed, 28 Jan 2026 21:51:30 GMT

April 1, 2020 - 1 - OmicSoft DiseaseLand Core Capabilities Training - Elodie...

Wed, 28 Jan 2026 21:50:31 GMT

Tissue-specific target identification using QIAGEN OmicSoft high-quality...

Fri, 23 Jan 2026 15:45:22 GMT

Disease pathogenesis is often context-dependent, specifically on tissue expression profiles within a given disease context. However, tissue expression profile of drug targets or potential targets is often difficult to ascertain.

In this webinar, we will dive deep into the wealth of available deeply curated high quality ‘omics data (RNA-seq, scRNA-seq and more) in the OmicSoft Lands database using APIs to achieve the following:

• Demonstrate how to obtain a disease gene signature of interest.

• Compare the constitutive expression profile of that gene set across different tissues.

• Find tissues with similar expression profiles.

• Generate a hypothesis relating two tissue specific diseases to each other for the purpose of indication expansion.

QIAGEN OmicSoft trainings- 3 part series - Oct 20 (part 1)

Fri, 16 Jan 2026 21:45:21 GMT

Day 1: Biomarker discovery with QIAGEN OmicSoft OncoLand

Leverage public oncology data from GEO, TCGA and other collections to:

Biomarkers and drug target investigation using manually curated, unified...

Tue, 09 Dec 2025 16:42:51 GMT

There is an almost incomprehensible amount of diverse, non-standardized ‘omics data deposited in different public sources such as GEO, SRA, TCGA, GTEx and others. Scientists who are interested in biomarker discovery and investigation using such data run into the challenge of finding time and resources to locate studies of their interest and then making it usable by cleaning and standardizing these data. Accordingly, this training is focused on how scientists facing the above challenges can use OmicSoft Lands which has manually curated, unified data which is flexibly accessed through both a web-based portal and APIs.

• Easily and effectively locate RNA and protein expression data of interest (specific diseases, drug treatments, tissues etc.) using the web-based portal as well as OmicSoft Lands APIs

• Conveniently generate charts comparing expression across different conditions of user interest (example disease vs normal, treated vs untreated, responders vs non responders and more)

• Export results in both tabular and graphical formats

From Signature to Strategy: Drug Repurposing and Indication Expansion with...

Mon, 24 Nov 2025 11:37:10 GMT

Discover how QIAGEN Ingenuity Pathway Analysis (IPA) and OmicSoft Studio empower researchers to uncover hidden synergies within their existing drug portfolios. Whether you're exploring new indications or repurposing known compounds, these tools provide a data-driven framework to accelerate discovery and reduce development costs.

Learn how to:

• Diagram their current pipeline of drugs, targets and indications using IPA’s network construction and overlay tools

• Introduce a new gene signature and assess its interaction with known targets and pathways

• Query curated real-world datasets from OmicSoft Lands to validate predicted interactions and uncover novel therapeutic opportunities

• Compare gene profiles against disease vs. normal datasets to identify candidates for indication expansion

Join us to see how integrating deeply curated ‘omics data with predictive analytics can transform your drug development strategy.

OmicSoft Explorer Hands-on Workshop: Easily search and interpret deeply...

Mon, 24 Nov 2025 11:34:20 GMT

This hands-on workshop will cover a highly requested use case using OmicSoft Explorer and IPA Interpret, two new features that QIAGEN IPA* and OmicSoft customers can now access.

Specifically, the trainer will go over how to:

• Easily search for deeply curated high-quality 'omics datasets (RNA-seq, scRNA-seq, etc.) based on user-defined criteria (disease name, drug treatment, etc.) curated from sources such as GEO, SRA, TCGA and more

• Explore project details to gain a better understanding of the experimental setup and sample metadata

• Study volcano plots to identify biomarkers associated with conditions of interest

• Generate sharable pathway analysis reports that provide insights into disease pathology, drug mechanism of action, cellular processes and more

*with a premium license.

IPA Interpret and OmicSoft Explorer are now available through both IPA and OmicSoft. Learn more: https://qiagen.my.salesforce-sites.com/KnowledgeBase/KnowledgeNavigatorPage?id=kA4Sc00000023mbKAA&categoryName=BioX

Using OmicSoft OncoLand to integrate public expression and somatic mutation...

Thu, 23 Oct 2025 16:05:15 GMT

QIAGEN OmicSoft Lands are high-quality curated repositories of genomics and proteomics data sourced from public, published studies (GEO, EBI, SRA) and consortia (TCGA, CPTAC, GTEx, and more). Because of our expert curation and stringent quality checks, OmicSoft users can deeply investigate across diverse oncology and normal tissue/cell datasets to discover and validate candidate drug targets and biomarkers.

In this training, attendees will use OmicSoft Studio, our graphical user interface, to access public data from The Cancer Genome Atlas (TCGA). Using this data, you will learn how to:

• View gene expression and somatic mutation frequency across different tumor types and conditions

• Identify genes whose expression correlates or anti-correlates with mutation of your target

• Prioritize your candidate biomarkers using expression data across comparisons (tumor vs. normal, MUT vs. WT, etc.)

• Establish survival consequences from changes in your candidate biomarker’s expression or mutation status

Leveraging QIAGEN OmicSoft for scRNA-Seq in Pharma - Mike Dufault - Sanofi

Mon, 25 Aug 2025 10:47:26 GMT

Novel discoveries utilizing public data through QIAGEN Omicsoft Lands - March...

Mon, 25 Aug 2025 10:46:54 GMT

In this 90-minute video, users will learn how to discover and validate biomarkers, key regulators and targets through harnessing uniformly-processed public data from sources such as GEO, SRA, cancer collections (TCGA, CCLE etc.), normal tissue/cell type collections (GTEx, HPA etc.) and more using QIAGEN Omicsoft Lands.

Supporting Biomarker Discovery One Cell at a Time - Introduction to QIAGEN...

Mon, 25 Aug 2025 10:45:44 GMT

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 here to learn more.

Discovery from public oncological data using QIAGEN Omicsoft OncoLand and...

Mon, 25 Aug 2025 10:45:20 GMT

In this 90-minute training, we will discuss how to discover and validate biomarkers as well as drug targets and key genes using public oncological data from GEO, TCGA, CCLE and other sources. To do this, we will use QIAGEN Omicsoft OncoLand, QIAGEN Ingenuity Pathway Analysis (IPA) and the OmicSoft Land Explorer web interface.

Specifically, for conditions of interest (diseases, cell lines, treatments etc.), we will discuss how to:
• Identify public studies of interest
• Derive a biomarker/gene signature
• Study expression of a gene or drug target
• Correlate expression of multiple genes and biomarkers
• Visualize a gene signature in the context of a heatmap
• Compare public data with other public data or a user’s own data

Speaker: Sumana Chintalapudi, Ph.D., Field Application Scientist, QIAGEN Digital Insights

Expression data analysis using QIAGEN Omicsoft Studio - Sep 28 2021

Mon, 25 Aug 2025 10:44:01 GMT

In this training, users will learn how to generate downstream outputs such as heatmaps, differential expression tables, PCA/PCOA plots, box plots and other visualizations from their count or expression data (transcriptomics, proteomics, metabolomics, etc.). Attendees will learn how to: • Import either normalized or raw count data (transcriptomics, proteomics, metabolomics, etc.) into QIAGEN OmicSoft Studio • Generate downstream outputs such as differential expression tables, heatmaps, counts, PCA/PCOA, etc. • Export high resolution graphics as well as raw or filtered tables • Export results to QIAGEN Ingenuity Pathway Analysis • Deploy easy-to-use pipelines for RNA-seq/scRNA-seq/microarray data • Implement options for downloading or comparing public data (GEO, TCGA, etc.) Speaker: Eric Seiser, Ph.D. Field Application Scientist, QIAGEN Digital Insights

Drug treatment, toxicology and target safety assessment using QIAGEN...

Mon, 25 Aug 2025 10:43:25 GMT

In this 90-minute training, users will learn how to do drug treatment, toxicology and target safety assessment related discoveries using QIAGEN Ingenuity Pathway Analysis (IPA) and QIAGEN Omicsoft Lands.

Using public data from GTEx (normal tissue), GEO, cancer collections and more, attendees will learn how to use Omicsoft Lands to:
• Investigate a drug target or biomarker expression across different normal tissues, disease conditions, treatments and more
• Correlate expression of 2 or more genes
• Identify a list of genes or biomarkers specific to treatment, disease, normal tissue, cell type and more

Using findings from peer-reviewed publications and other sources, attendees will learn how to use QIAGEN IPA to:
• Investigate the impact of targeting a gene/protein on different toxicological and biological functions
• Derive tox findings for a gene of interest from QIAGEN IPA’s knowledgebase
• Identify and study toxicity-related pathways, regulators and functions for an internal dataset or a public dataset
• Compare different drug treatments, other conditions or multi-omics data for novel discoveries

Drug Target and Biomarker Investigation using OmicSoft OncoLand

Mon, 25 Aug 2025 10:43:04 GMT

In this 90-minute training, attendees will learn how to use basic expression analysis functionalities in QIAGEN OmicSoft OncoLand. QIAGEN OmicSoft Single Cell Land will also be discussed, focusing on public single-cell data.

Key focus will be on Biomarker discovery with QIAGEN OmicSoft OncoLand leveraging public oncology data from GEO, TCGA and other collections to:

This training is designed for biologists, bioinformaticians, and data scientists.

Authenticated and reproducible cell line 'omics data

Mon, 25 Aug 2025 10:41:12 GMT

Have you ever tried to access the genomic profiles of cell lines before using them in your preclinical experiments just to come up empty-handed? Maybe you’ve scoured public databases for gene expression information on your cell line to find the reported genomic profile doesn't match the cell line data you recently purchased?

We understand that knowing the genomic identity of your cell lines is fundamental to the success of your preclinical experiments. Unfortunately, most publicly available sources have little or no cell line' omics data, leaving you to fend for yourself.

That's why we've teamed up with ATCC, the market leader in global biological materials and authenticated cell lines, to deliver you manually curated cell line ‘omics data from the most popular cell lines offered by ATCC. We've collected this data into ATCC Cell Line Land, our continually growing database of cell line 'omics data from both common and novel human and mouse cell lines, primary tissues and cells from ATCC. ATCC Cell Line Land gives you access to standardized, authenticated and reproducible cell line 'omics data characterizations which can be traced back to physical lots of cells in ATCC's biorepository.

Attend our joint webinar with ATCC to learn about and explore ATCC Cell Line Land, including:

The key limitations of public cell line data that drove its development
How we curate our data in the QIAGEN OmicSoft Lands framework
Why you can depend on the provenance of the data
The different types of 'omics data and metadata available
How it empowers you to plan and design your preclinical experiments more precisely
How to identify specific cell lines that express your gene of interest and those that don't
How to validate specific mutations from the literature

Who should attend? Biologists, preclinical researchers, bioinformaticians, data scientists

Click here to learn how.

Drug treatment, toxicology and target safety assessment using QIAGEN IPA and...

Mon, 25 Aug 2025 10:40:29 GMT

In this 90-minute training, you’ll learn how to do drug treatment, toxicology and target safety assessment-related discoveries using QIAGEN Ingenuity Pathway Analysis (IPA) and QIAGEN Omicsoft Lands.
Using public data from GTEx (normal tissue), GEO, cancer collections and more, you’ll learn how to use Omicsoft Lands to:
• Investigate a drug target or biomarker expression across different normal tissues, disease conditions, treatments and more
• Correlate expression of two or more genes
• Identify a list of genes or biomarkers specific to treatment, disease, normal tissue, cell type and more

Using findings from peer-reviewed publications and other sources, attendees we’ll explore with you how to use QIAGEN IPA to:
• Study the impact of targeting a gene/protein on different toxicological and biological functions
• Derive tox findings for a gene of interest from QIAGEN IPA’s knowledgebase
• Identify and study toxicity-related pathways, regulators and functions for an internal dataset or a public dataset
• Compare different drug treatments, other conditions or multi-omics data for novel discoveries

Biomarkers and drug target investigation using manually curated, unified...

Mon, 18 Aug 2025 23:04:19 GMT

• Easily and effectively locate RNA and protein expression data of interest (specific diseases, drug treatments, tissues etc.) using the web-based portal as well as OmicSoft Lands APIs

• Conveniently generate charts comparing expression across different conditions of user interest (example disease vs normal, treated vs untreated, responders vs non responders and more)

• Export results in both tabular and graphical formats

Summer 2025 IPA Interpret and OmicSoft Explorer Enhancements

Mon, 18 Aug 2025 22:47:50 GMT

Join us to review exciting new features in IPA Interpret and OmicSoft Explorer.

We will walk though the latest enhancements in IPA Interpret like:

• Bubble charts for various analysis results

• Customizing charts

• More context for Graphical Summary results

• Explore matching and anti-matching datasets easily with more details

We will also walk through how to explore gene signatures in OmicSoft Explorer. You can readily find other experiments that match or anti-match your prescribed list of genes and expression patterns.

Checkpoint inhibitor and immuno-oncology investigation leveraging curated...

Wed, 11 Jun 2025 09:41:07 GMT

While there is great interest in the scientific community to investigate drug targets and biomarkers from public immune-oncology data, such investigation is hindered by the difficulty in finding and combining related datasets to perform large-scale meta-analyses. This webinar will focus on how high-quality curated genomic repositories such as QIAGEN OmicSoft Lands immediately allows in-depth investigations across diverse data sources (GEO, CPTAC, TCGA, GTEx and more) to discover and validate candidate checkpoint inhibitor drug targets and biomarkers.

You will learn how to do the following in the graphical user interface and through APIs:

- Easily identify relevant samples using extensive manually curated clinical metadata

- Visualize and identify checkpoint inhibition biology related drug target and biomarkers expression patterns using expression data (RNA-seq, scRNA-seq, proteomics etc.)

- Reveal how the expression of a group of biomarkers (or genes/proteins of interest) correlates in normal and disease tissue

Beyond discovery_Invest in your research with QIAGEN

Thu, 22 May 2025 10:14:08 GMT

It’s a tough time to be in research, but QIAGEN is committed to bringing more insights to your work, no matter what challenges you face.

Start investing in your research with our new features, OmicSoft Explorer and IPA Interpret. You can unearth research gold in our curated collection of ‘omics datasets, explore detailed pathway analysis reports and share your insights with anyone with a computer.

In this webinar, you'll learn how to:

• Search through our collection of ‘omics datasets (RNA-seq, scRNA-seq, etc.) curated from GEO, SRA, TCGA and more, based on your criteria

• Examine project details like experimental setup and sample metadata

• Identify biomarkers associated with conditions of interest

• Share pathway analysis reports and insights into disease pathology, drug mechanism of action, cellular processes and more

Also, you’ll receive live answers to any questions you have during the live webinar.

Optimizing mouse model selection with OmicSoft Explorer and Studio

Fri, 16 May 2025 19:36:32 GMT

Join us for an insightful webinar where you'll discover how to navigate harmonized and curated sample data using Omicsoft Explorer and OmicSoft Studio. Learn how to effectively select patient-derived and cell line-derived mouse models tailored to your research needs.

• Discover how to identify and select relevant projects using OmicSoft Explorer

• Explore expression comparison data to analyze genes of interest effectively

• Learn how to download gene expression data for targeted comparisons

• Dive into sample-level data to pinpoint gene activity across selected samples, aiding in the selection of CDX models

• Create informative heatmaps to visualize expression patterns for genes of interest

Discover biomarkers, validate targets and identify variants with QDI software

Tue, 19 Nov 2024 08:54:21 GMT

Learn how to leverage solutions from QIAGEN Digital Insights to discover biomarkers, validate targets, and identify variants.

Attendees will learn to:

1. Locate public studies of interest using OmicSoft DiseaseLand

2. Investigate expression of genes of interest across different treatments, disease states, etc.

3. Identify variants of interest for candidate biomarkers and targets using Human Gene Mutation Database (HGMD)

4. Leverage the QIAGEN Knowledgebase in Ingenuity Pathway Analysis (IPA) to explore and extend findings from OmicSoft DiseaseLand and HGMD

5. Access data from OmicSoft, HGMD and IPA in ways that are helpful for data scientists

Checkpoint inhibitor and immuno-oncology investigation leveraging curated...

Tue, 19 Nov 2024 08:47:30 GMT

You will learn how to do the following in the graphical user interface and through APIs:

- Easily identify relevant samples using extensive manually curated clinical metadata

- Visualize and identify checkpoint inhibition biology related drug target and biomarkers expression patterns using expression data (RNA-seq, scRNA-seq, proteomics etc.)

- Reveal how the expression of a group of biomarkers (or genes/proteins of interest) correlates in normal and disease tissue

OmicSoft DiseaseLand Training

Mon, 23 Sep 2024 12:06:45 GMT

This OmicSoft DiseaseLand training is designed to empower researchers to take advantage of data on non-oncological diseases (e.g., inflammatory, infectious, metabolic) as well as normal tissues (e.g., for toxicology or target safety assessment).

OmicSoft DiseaseLand is a repository that contains high-quality curated ‘omics data (e.g., RNA-seq, scRNA-seq, microarray) from diverse data sources (e.g., GEO, SRA, GTEx). This training will focus on leveraging public data, but users can also apply this knowledge towards their institutions' internal Lands ('omic data repositories). 

You learn to answer questions such as:

• How is a gene (or a set of genes) expressed across different conditions (e.g., diseases, treatments, tissues, cell types)

• How is the expression of a gene correlated with the expression of other genes?  

• For a list of genes, can we generate a heatmap studying their expression across different conditions? 

• How do you get a list of biomarkers specific to a condition from public studies? 

OmicSoft Studio RNA-seq and expression data analysis

Tue, 27 Aug 2024 17:37:18 GMT

In this 90-minute training, attendees will learn how to use basic expression analysis (example RNA-seq) functionalities in QIAGEN OmicSoft studio and how that integrates with OncoLand, DiseaseLand and Single Cell Land. This webinar will focus on expression data analysis using QIAGEN OmicSoft Studio’s powerful analysis and visualization capabilities to explore your ‘omics data: 

• Accepted data formats (ex. fastq files, cell matrix files with raw or normalized counts, etc.)  
• Easily generating and flexibly customizing downstream outputs such as differential expression, heatmaps, counts, PCA/PCOA, etc. 
• Exporting high-resolution graphics as well as raw or filtered tables

To make most out of this training, please consider reviewing below ahead of time (not a requirement to attend the training though).
Step-by-step local analysis: https://qiagen.showpad.com/share/4RlqPuRL3NbookmCybga2
Step-by-step server analysis: https://qiagen.showpad.com/share/xCnBr2LPphZOyNihxORqn

Leveraging high-quality public proteomics data for biomarker and drug target...

Fri, 16 Aug 2024 15:17:05 GMT

Per feedback from recent trainings, we are hosting a training focused on biomarkers and drug target investigation through effectively utilizing high quality curated public proteomics expression data. OmicSoft Lands database is a high-quality curated repository containing gene and protein expression data derived from a variety of sources such as CPTAC, TCGA, HPA, GTEx and more.

Using OmicSoft Lands APIs, you will learn how to:

• Easily locate proteomics samples and projects (studies) of interest (example can we locate proteomics data related to the breast cancer or specific drug treatment?)
• Check expression of a protein of interest (drug target or biomarkers) across different experimental groups or conditions (diseases, treatments, cell types and more) as well as across samples coming from different collections (example is a protein upregulated in breast cancer samples from TCGA and CPTAC but downregulated in normal samples from TCGA, GTEx and HPA)
• Correlate protein levels with RNA-seq expression data for the same samples, and compare differential expression results from proteomic and RNA-seq results
• Investigate whether there is correlation in expression between two (or a group/list of proteins) across different experimental groups/conditions (example do two proteins of interest show correlation in expression in TNBC samples? Is protein and gene expression correlated as well?)
• Derive a protein signature from conditions of interest (example are a group of protein upregulated in disease condition but downregulated upon drug treatment)
• Perform Geneset Enrichment for a group of proteins

Discovery from sample-level public data (GEO, SRA and more) using IPA Land...

Mon, 05 Aug 2024 16:47:44 GMT

Within QIAGEN Ingenuity Pathway Analysis (IPA), public data sourced from OmicSoft is already processed and standardized, making it easy to jump to the actual research.

In this training, we'll show how to effectively use sample-level public data and metadata from sources like GEO, SRA, TCGA, GTEx, Blueprint, CCLE and other sources using the IPA Analysis Match and Land Explorer features. We will walk through various use cases, such as biomarker discovery, drug target investigation, studying survival in custom patient cohorts, multi-gene correlation and more.

You will learn to answer questions such as:
• How is a gene of interest expressed across different conditions (e.g. diseases, treatments, cell lines)?
• Is there correlation in the expression for two genes or biomarkers of user interest for a given condition?
• For a given condition of interest, can we derive a list of genes (e.g., genes specific to a disease, treatment or cell type)?
• Can we generate custom cohorts of patients (e.g., example TP53 wt vs mutant or PDCD1 high vs low expression) and then, generate survival curves representing those cohorts?
Can we generate p-values to see if there is significant difference?
• Can we detect expression of a gene in different cell types from single cell data?

Probing OncoLand using OmicSoft Studio

Thu, 01 Aug 2024 10:37:17 GMT

There's more than one way to probe our OncoLand data. With the OmicSoft Studio graphical user interface (GUI), you won't need a script to fetch the data you want.

This training will show how high-quality curated genomic repositories, such as the QIAGEN OmicSoft Lands, immediately allow in-depth investigations across diverse oncology and normal tissues/cells data sources (GEO, CPTAC, TCGA, GTEx and many more) to discover and validate candidate checkpoint inhibitor drug targets and biomarker investigation.

You will learn to generate data for questions such as:

• How is a gene (or a set of genes) expressed across different conditions (e.g., diseases, treatments, cell types)?
• How is the expression of a gene correlated with the expression of other genes?
• For a list of genes, can we generate a heatmap studying their expression across different conditions?
• How do you get a list of biomarkers specific to a condition from public studies?

Checkpoint inhibitor and immuno-oncology investigation through OmicSoft Lands...

Thu, 25 Jul 2024 12:22:45 GMT

While there is great interest in the scientific community to investigate drug targets and biomarkers from public immune-oncology data, such investigation is hindered by the difficulty in finding and combining related datasets to perform large-scale meta-analyses. This webinar will focus on how high quality curated genomic repositories such as the QIAGEN OmicSoft Lands database immediately allows in-depth investigations across diverse data-sources (GEO, CPTAC, TCGA, GTEx and many more) to discover and validate candidate checkpoint inhibitor drug targets and biomarker investigation.

In this webinar you will learn how to:

• Easily identify relevant samples using extensive manually curated clinical metadata
• Visualize and identify checkpoint inhibition biology related drug target and biomarkers expression patterns in bulk and single cell RNA-seq studies.
• Reveal how the expression of a group of biomarkers (or genes/proteins of interest) correlates in normal and disease tissue

Discoveries from comparing user data with high-quality public genomics data

Thu, 18 Jul 2024 13:54:58 GMT

Discoveries from comparing user data with high-quality public genomics data

Description:
Scientists across biopharma and academia, from early discovery and translational research to toxicology and more, are highly interested in comparing and validating their 'omics experiment results such as RNA-seq, microarray, and single cell RNA-seq against published datasets. With QIAGEN OmicSoft Lands collections of deeply curated omics datasets from biomarkers and drug target investigations, tissue and cell type profiling, drug response studies and more, it is quick and easy to discover, retrieve, and compare data from GEO, SRA, GTEx, TCGA, HCL, and other data sources against your own experiments.

In this webinar, you will learn how to compare your data with published datasets with clean metadata using two different approaches:

OmicSoft Studio Graphical User Interface: Many scientists interested in validating their omics datasets are comfortable with a no-code GUI. The trainer will teach you how to find interesting published datasets in the Land database, retrieve these data, then compare your data using OmicSoft Studio.

OmicSoft Lands APIs: Data scientists and bioinformaticians, and others more comfortable working with command-line data exploration and visualization tools within R and Python, can use the OmicSoft Lands API. OmicSoft Lands API allows command-line users to efficiently search, explore, and analyze multi-omics data using consistent metadata and data models, then retrieve data of interest to compare directly with user datasets.

Leveraging the power of API-based omics (RNA-seq, proteomics and more)...

Thu, 16 May 2024 13:58:00 GMT

There is a strong interest in the scientific community to use public (GEO, SRA, TCGA, LINCS, etc.) omics (RNA-seq, scRNA-seq, microarray, proteomics, etc.) data for a variety of discoveries. This webinar, aimed at data scientists, bioinformaticians and similar roles in biopharma and academia, explores a comprehensive way of accessing and analyzing high-quality, expertly curated omics data via the QIAGEN OmicSoft APIs. These OmicSoft APIs provide a powerful and flexible platform for discovering, retrieving, filtering, analyzing and visualizing multi-omic data. You can learn how to access the OmicSoft APIs and programmatically leverage extensive metadata to perform custom analyses and identify targets of interest.

Topics to be covered in this webinar:

• Leveraging curated metadata to structure queries (metadata refers to cell type, tissue, disease, drug treatment etc., associated with public data)
• Finding multiple samples with the same metadata and creating cohorts
• Identifying expression and correlation
• Performing gene set enrichment analysis
• Testing cell specificity with custom aggregation

Integrating deeply curated omics data with APIs for biomarkers and...

Tue, 19 Sep 2023 17:54:50 GMT

If you’re a data scientist or bioinformatician working in biopharma and need extensive high-quality ‘omics data for your projects in target discovery, this training is for you. You’ll learn how to programmatically discover, retrieve, filter, aggregate and analyze ‘omics data from our extensive repositories of deeply-curated multi-omics data. You’ll learn how to leverage extensive metadata to find and combine datasets of interest, find and test signatures and perform custom analyses to reveal patterns relevant to disease.
Join us to learn how QIAGEN OmicSoft Lands API can revolutionize your data analysis workflows and help you make more informed decisions.

In this training, you’ll learn how to:
• Search for gene signatures to find datasets (e.g., gene set analysis to find matches of various related comparisons, where the result is a list of comparisons with Contrast names)
• Plot correlation of results (e.g., where the result is a scatter plot between dataset comparisons)
• Find multiple datasets with the same metadata (e.g., based on comparisons, you can define key metadata, then pull a bunch of datasets, and the result is a large table)
• Perform a meta-analysis (e.g., based on datasets, do a Wilcoxon non-parametric test, where the result is Volcano plot and list)
• Test cell specificity with custom aggregation (e.g., for hundreds of genes, calculate the % expressing, and aggregate across studies and by CellTypeGroup, where the result is a heatmap)

Drug treatment, toxicology and target safety assessment using QIAGEN IPA and...

Wed, 06 Sep 2023 16:20:38 GMT

In this 90-minute training, you'll learn how to perform drug treatment, toxicology and target safety assessment-related discoveries using QIAGEN Ingenuity Pathway Analysis (IPA) and QIAGEN Omicsoft Lands.

Using public data from GTEx (normal tissue), GEO, cancer collections and more, you'll learn how to use Omicsoft Lands to:
• Investigate a drug target or biomarker expression across different normal tissues, disease conditions, treatments and more
• Correlate the expression of two or more genes
• Identify a list of genes or biomarkers specific to treatment, disease, normal tissue, cell type and more

Using findings from peer-reviewed publications and other sources, we'll explore with you how to use QIAGEN IPA to:
• Study the impact of targeting a gene/protein on different toxicological and biological functions
• Derive toxicity findings for a gene of interest from QIAGEN IPA's knowledgebase
• Identify and study toxicity-related pathways, regulators and functions for an internal dataset or a public dataset
• Compare different drug treatments, other conditions or multi-omics data for novel discoveries

‘Omics data queries made simple - introducing the QIAGEN OmicSoft API

Fri, 10 Mar 2023 15:28:24 GMT

Do you struggle with finding relevant 'omics datasets for your drug discovery and biomarker projects?  Have you ever spent hours or days sifting through data portals looking for data only to come up empty or realizing you need to normalize the data before you can use it?

In this short video we introduce the QIAGEN OmicSoft API, a robust way to quickly summarize data, return gene signatures and collect full datasets that match your specific queries. 

Want to learn more? Visit QIAGEN OmicSoft.

Human-certified ‘omics data to power drug discovery

Thu, 24 Feb 2022 17:02:21 GMT

Integrating external and internal ‘omics data is a key element of hypothesis generation, target identification, and biomarker prioritization when it comes to drug discovery. It is never as straightforward as it seems and usually costs more, takes more time than anticipated, often with poor results. In this talk, Joseph Pearson, PhD, from QIAGEN Digital Insights will discuss approaches and resources to overcome these obstacles and improve outcomes.

Participants will learn:
• Where automated curation approaches can leave you short
• Why data scientists spend most of their time not doing data science
• Where bioinformaticians and data scientist spend most of their time
• What is required of high-quality ‘omics data
• Example of high-quality TCGA data
• How to extend these practices to internal data structures

To learn more visit: https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/qiagen-omicsoft