Getting startedGetting started with OmicSoft
| Key Resources
license activation questions, or to request dataset curation for Lands. |
Use OmicSoft to quickly look up gene expression patterns across disease and normal tissue, or visualize pre-analyzed internal data in OmicSoft Studio. | |
Use OmicSoft Studio's advanced analysis and visualizations for internal and public data exploration, for their work and to support biologists. | |
Use OmicSoft's curated Lands datasets exported as flat files or via APIs, and interact with OmicSoft Server using custom scripts and pipelines. | |
Manage access for new users, and coordinate custom end-user trainings with QIAGEN. |
Getting startedGetting started with OmicSoft
| Key Resources
license activation questions, or to request dataset curation for Lands. |
Learn about: Quickly finding and visualizing data for your area of research, basic analysis steps, introductory videos, internal resources
Disease Biomarker Discovery | Quick biomarker discovery from thousands of deeply-curated omics datasets for disease and normal tissue, using QIAGEN OmicSoft DiseaseLand |
Oncology Biomarker Discovery | Quick biomarker discovery from Oncology-focused datasets for exploration, including TCGA, CCLE, TARGET, and thousands of GEO studies, using QIAGEN OmicSoft OncoLand |
Omics data analysis | Basic omics analysis and statistics capabilities of OmicSoft Studio, such as RNA-seq, microarray, RT-PCR, differential expression |
Disease Biomarker Discovery | |
Accelerate disease-focused target discovery with DiseaseLand, by exploring thousands of curated studies with expression data, extensive metadata, and precomputed comparisons from each study revealing differential expression between Treated vs Control, Disease vs Normal, Responder vs Non-Responder, and more. Learn how to harness visualizations and powerful filters to answer omics-related questions. | |
IntroductionIntroduction to DiseaseLand's curated datasets
| Getting StartedGet started with exploring DiseaseLand data
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Advanced TopicsWebsites, videos, documents on DiseaseLand to dive deeper into the data |
Oncology Biomarker Discovery | |
Accelerate cancer-focused target discovery using OncoLand, with manually-curated and unified multi-omics datasets from consortia like TCGA, TARGET, GTEx, CCLE, and thousands of curated studies with expression data, extensive clinical metadata, and precomputed comparisons from each study revealing differential expression between Treated vs Control, Disease vs Normal, Responder vs Non-Responder, and more. Learn how to harness visualizations and powerful filters to answer omics-related questions. | |
IntroductionIntroduction to OncoLand
| Getting StartedGetting started with OncoLand. |
Advanced TopicsWebsites, videos, documents on OncoLand | Use case demosExamples that answer common scientific questions
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Omic data analysis | |
OmicSoft Studio is a powerful interactive tool for omics data exploration, which works in connection with your OmicSoft Server. Common use cases include built-in NGS analyses, data visualization, and differential expression analysis. | |
IntroductionGetting started with Omic data analysis
| Getting StartedGetting started with OmicSoft Analysis |
Advanced TopicsIn-depth resources of OmicSoft Omic data analysis |
Learn about advanced capabilities of the software, use cases, and videos
DiseaseLand | Advanced exploration of thousands of deeply-curated omics datasets for disease and normal tissue, ready to use to identify biomarkers |
OncoLand | Advanced exploration of oncology-focused datasets for exploration, including TCGA, CCLE, TARGET, and thousands of GEO studies |
Omic data analysis | In-depth omics analysis and statistics capabilities of OmicSoft Studio, such as RNA-seq, microarray, RT-PCR, differential expression |
DiseaseLand | |
DiseaseLand accelerates disease-focused target discovery by providing access to thousands of curated studies with expression data, extensive sample-level metadata, and precomputed comparisons from each study revealing differential expression between Treated vs Control, Disease vs Normal, Responder vs Non-Responder, and more. Learn how to harness visualizations, correlation analytics and data exports to answer omics-related questions. | |
IntroductionIntroduction to DiseaseLand
| Getting StartedGetting started with DiseaseLand |
Advanced TopicsWebsites, videos, documents on DiseaseLand
|
OncoLand | |
OncoLand accelerates cancer-focused target discovery by providing access to manually-curated and unified multi-omics datasets from consortia like TCGA, TARGET, GTEx, CCLE, and thousands of curated studies with expression data, extensive sample-level metadata, and precomputed comparisons from each study revealing differential expression between Treated vs Control, Disease vs Normal, Responder vs Non-Responder, and more. Learn how to harness visualizations and powerful filters generate custom comparisons within and between omics data types, and export custom datasets to answer advanced omics-related questions. | |
IntroductionGetting started with OncoLand
| Getting StartedGetting started with OncoLand. |
Advanced TopicsWebsites, videos, documents on OncoLand
| Use case demosExamples that answer common scientific questions
|
Omic data analysis | |
OmicSoft Studio is a powerful desktop client for omics analysis that works in connection with OmicSoft Server. Advanced use cases of OmicSoft Studio include customized NGS and Omics analyses, visualizations built on advanced filtering, and complex differential gene regulation analyses. | |
IntroductionIntroduction to Omic data analysis
| Getting StartedGetting started with Omic data analysis |
Advanced TopicsIn-depth resources on Omic data analysis
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Learn about Large data handling, access to full flat files, APIs, scripting, programming access using R and Python
Programmatic access to Lands dataUse flat files, APIs to explore thousands of deeply-curated omics datasets1. Disease-focused datasets for disease and normal tissue, ready to use to identify biomarkers 2. Oncology-focused datasets, including TCGA, CCLE, TARGET, and thousands of GEO studies 3. Single cell transcriptomic datasets with full curation of project, sample, cluster, and cell data
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Programmatic data analysis pipelinesUse scripting methods to submit analyses directly to OmicSoft Server for in-depth omics analysis1. Analysis pipelines for RNA-seq, microarray, RT-PCR, differential expression and more
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Learn about: General benefits and uses of OmicSoft software and data, successful implementation and basic usage
Basic administration tasksUser Management, data administration
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General informationRead about instructions on OmicSoft Studio installation.
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Additional InformationRead about introductory materials on OmicSoft Suite
Introduction to OmicSoft Lands |