For pricing and inquiries, send an email to

5001 Weston Parkway, Suite 201
Cary, NC 27513



Omicsoft is the leading provider of Next Generation Sequencing, Cancer Genomics, Immunology, and Bioinformatics solutions for Next Generation Sequencing Data and Gene Expression Analysis.

Exciting Updates and Latest News

Keeping you up-to-date with the latest in NGS, Bioinformatics Analysis, and cancer genomics with blogs on Array Suite, OncoLand (TCGA and more), ImmunoLand, and more.

Filtering by Tag: GeneticsLand

[Event] Learn|Network|Impact 2017 OmicSoft User Group Meeting

Vivian Zhang

OmicSoft, now a QIAGEN company, would like to invite you to our annual Omicsoft User Group Meeting being held in Cambridge, MA on September 19-20, 2017. 

FREE registration and attendance, limited time only. For registration and more details, please directly go to our UGM page.

In the past ten years, OmicSoft has helped numerous users from major pharma and biotech companies (as well as research institutions) accelerate their bioinformatics and genomics research (who are our customers?). Last year, OmicSoft successfully held our kick-off OmicSoft User Group Meeting. More than 30 leading pharmaceutical and biotech companies, more than 100 experts and scientists in the field of bioinformatics/genomics/genetics attended the meeting.

Last year, our action-packed one-day meeting provided an open platform for our users and industry peers to learn, to network, and to impact the development of OmicSoft products. Click here for 2016 OmicSoft UGM meeting agenda. This year OmicSoft has had several milestones and technology breakthroughs including: our acquisition by QIAGEN, Array Suite 10,0. release, Cloud-Based Lands, Single Cell RNA-Seq support, upcoming integration with QIAGEN's bioinformatics products, Web-based solutions and more. We are expanding the 2017 OmicSoft User Group Meeting into a two-day event with:

  • More product training - Get the most out of Omicsoft products, and QIAGEN's bioinformatics products
  • More user talks and networking opportunities - Learn from others' experiences, industry best practices, and expand professional network
  • More One-On-One meetings - Get problems solved, questions answered and get personalized training from our experienced staff


Learn, network, impact. Come join us and leading pharma, biotech companies and research institutions.

  • Learn to Use OmicSoft Products More Efficiently 
  • Impact Future Product Development
  • Network with Peers and Industry Experts
  • Get One-On-One Help from Experts
  • Explore more QIAGEN Bioinformatics products


Please contact us for potential presentation and collaboration opportunities. 

Bridging Bioinformatics|Genomics|Genetics Research: 2016 Omicsoft User Group Meeting

Vivian Zhang


  • Who Attended:
    • More than 30 leading pharmaceutical and biotech companies. 
    • More than 100 attendees who are experts and scientists in the field of bioinformatics/genomics/genetics.
  • What Occurred:
    • Numerous discussions among attendees on the future of biomarker discovery, as well as best practices of data management, visualization and analysis.



Omicsoft Corporation successfully held our kick-off Omicsoft User Group Meeting in Cambridge, MA on Wednesday May 4, 2016.

We would like to thank all speakers and attendees, all of whom are extremely important in helping build out our platform successfully.  We've received extremely positive feedback from the meeting, and hope to do it again in the future.  Feedback on our software and services help drive our business, and the direct interaction with our customers during the event proved invaluable to us. 

Highlights from the meeting:

  • Introduction of GeneticsLand for management of genetics data
  • Introduction to the future SingleCell Land
  • Overview on curation processes
  • Updates on current data subscription Lands

For more details, please visit our 2016 User Group Meeting webpage.


Above is just a glance of some exciting moments at our meeting. If you missed the meeting, we have uploaded our speaker presentations and videos on our 2016 User Group Meeting webpage.

If you have any question with regard to the meeting, please contact us. 


[Land Update]GeneticsLand: Data Warehouse for Variant Level Data

Vivian Zhang


What is GeneticsLand?

GeneticsLand is a data warehouse for variant level data and provides a turnkey solution to genetic data storage, analysis, and annotation to facilitate a wide range of genetic-based activities in drug discovery and development. 

It allows user to import and export VCF files, array based data, imputed array data, eQTL data, association results, and variant annotated data. GeneticsLand is a subscription, adding value regularly with new content after purchase.. It is a search engine that not only stores millions of samples but also provides fast, easy and accurate search of variants, genes, chromosomal region and phenotype data.

Why use GeneticsLand?


Big Data:  GeneticsLand can store up to one million VCF samples per "Land" (database), (assuming 100 million SNPs per sample and essentially unlimited array based files). It can support thousands of association studies. At the same time,  data storage is compressed, significantly reducing IT storage burden.

Fast: GeneticsLand can access 100 trillion data points and perform advanced visualizations and dynamic annotation in real time.  Queries of 10 billion data points can occur in much less than 1 second (0.01 seconds in benchmark testing).

Integrated Solution: GeneticsLand will provide biologist-friendly and high level client for genomic/genetic data integration (including a future web-based client), accelerating target identification and validation using our sophisticated queries and visualization system. Our adjacent products, including OncoLand, ImmunoLand and CVMLand, work together with GeneticsLand to provide comprehensive genomic research tools that empower researchers in all disease fields. 



Search variant/genes for individual genotypes, SNP allele frequencies (population genetics), and annotations:

Access curated public association data: 

Visualize public and private eQTL data:

Correlate numerical clinical variables to genotypes:

How could GeneticsLand help you with your genetics research?

  • Big Picture - centralized storage and search engine
  • Everyday work
    • Search variant/gene for annotations
    • Search frequencies for a given variant/gene/region cross projects
    • Access individual genotype data (for data managers) cross projects
    • Access public association data (e.g. GRASP2)
    • Access public variant data
    • normalized data from any# of studies through exportinf
    • Instant region/genome plots for association studies

Stay tuned for more information in the coming days and weeks! 

Contact us at: for any questions or request for demo.


[Feature Update] Powerful variant search in GeneticsLand

Vivian Zhang

Since last month's blog post on GeneticsLand:  GeneticsLand: A Turnkey Solution For Genetic Data Storage, Analysis And Annotation, we have continued to rapidly improve the views and functionality of GeneticsLand. The recently improved Search Variants function provides informative details on Variants Annotation, Frequency across populations, GWAS and eQTL Details, Region Association Plot and Reference Links.

Example views:

Variant Annotation View.

Variant Annotation View.

Variant Frequency Across Different Population View.

Variant Frequency Across Different Population View.

GWAS Catalog View. By clicking on, for example, Gene ID, GeneticsLand will link to Variants table of all variants in the displayed gene: 

GWAS Catalog View. By clicking on, for example, Gene ID, GeneticsLand will link to Variants table of all variants in the displayed gene: 














eQTL Information

eQTL Information

Region Association View. The color represents the correlation with the queried variant.

Region Association View. The color represents the correlation with the queried variant.

Reference Links to public resources including dbSNP. SNPedia, GTEx, Google scholar, Haploreg, RegulomeDB.

Reference Links to public resources including dbSNP. SNPedia, GTEx, Google scholar, Haploreg, RegulomeDB.