Station X Exhibits and Presents at the ASHG 2017 in Orlando

Next week (Oct. 17-21), Station X will join more than an expected 6,500 members of the human genetics community at the 67th Annual Meeting of the American Society of Human Genetics (ASHG) in Orlando, Florida. ASHG is the largest human genetics meeting and exposition in the world and is a must-attend showcase for cutting-edge science in all areas of human genetics.

Station X is pleased to support the meeting this year from our base of operations in the exhibit hall (Booth #348), Wednesday through Friday. Our team will be meeting with customers and talking with attendees about our powerful cloud-based platform, GenePool. GenePool is the most modern and powerful genomics informatics platform for analysis, interpretation and clinical reporting – it brings an entire ecosystem of high-end data computing, storage, analytics, bioinformatics pipelines, visualizations, rich annotations, genomics assays, and phenotypic/clinical metadata to the fingertips of clinical and translational researchers.

We are also pleased to present a scientific poster on Thursday, October 19th at 3:00pm - 4:00pm ET (PgmNr 2390/T) concerning predicting ovarian cancer treatment outcomes using GenePool and machine learning approaches:

Towards Prediction of Platinum Treatment Response in Ovarian Cancer using Machine Learning Approaches

To learn more about GenePool, please stop by our booth at ASHG or email us at


Station X achieves Advanced Technology Partner status with AWS

Station X is excited to announce that it has achieved Advanced Technology Partner status in the AWS Partner Network (APN). This achievement comes after a thorough review and validation by Amazon Web Services (AWS) of GenePool's architecture. Advanced Technology Partner status validates GenePool's architecture as secure, high-performing, and resilient.  

Station X's becoming an Advanced Technology Partner will accelerate our use of AWS technologies and deliver new and higher-performing functionality to our GenePool customers. 

GenePool in GeneTown for Bio-IT World '17

Next week, the bioinformatics community will once again descend on Boston for the 15th annual gathering of CHI’s Bio-IT World Conference & Expo. Some 3,300 people from 40 countries will spend three days networking with customers and colleagues and learning about the latest advances in IT and informatics applications and enabling technologies that are driving biomedical research, drug discovery and clinical testing programs.

Whereas Bio-IT World serves as an annual opportunity to celebrate the many successes and milestones we’ve reached as a community, researchers are still challenged by the need for technologies that allow them to more seamlessly integrate diverse data sets with tools, technologies and workflows capable of delivering actionable information. 

The Station X team will be there in force and working out of our base of operations in the Expo Hall (Booth #134). We are looking forward to connecting with customers and collaborators and meeting researchers seeking a better way to manage and interpret their growing troves of sequence and clinical data.

Email us and we can schedule a time to talk more about your work and how GenePool can help.


Our GenePool platform was built from the ground-up on modern and secure cloud-based technologies for research on multi-omics data to provide scientists with:

  • an unparalleled user interface for interactive data visualization and biomarker discovery
  • access to well curated and annotated databases, like TCGA, GTEx and CCLE
  • an easy way to store and select genomics datasets according to sample-associated metadata for analysis
  • an automated system for performing custom and well-characterized genomics workflows
  • on demand, real-time secure data sharing with collaborators

Whether you are working in translational research, biopharmaceutical discovery or diagnostic development GenePool can help:

  • Identify key genes and variants associated with clinical outcomes
  • Identify genomic signatures of interest to assess disease risk and drug response
  • Rapidly screen patients for trial stratification
  • Address both clinical and research needs in one platform
  • Generate intelligent, interactive reports from your clinical-grade patient data

Station X, Inc. features at AWS re:Invent, Las Vegas, Nov. 29-Dec 2, 2016

The company’s cloud based platform, GenePool, for clinical genomics will be profiled in demo sessions this week in partnership with ConvergeHEALTH by Deloitte.  The demo is entitled  “Generating Evidence to Accelerate the Journey Towards Precision Medicine”, and you can catch one of the demos at the ConvergeHEALTH/Deloitte booth (#823) at 2 pm on Wednesday 30th Nov and Thursday 1st Dec.  

Built upon a modern and scalable architecture, GenePool is a secure SaaS platform that makes big genomics data manageable and meaningful.  The platform supports scientists across biopharma to clinical diagnostics labs by providing workflows for individual or family genome profiling or cohort and population-scale analytics. GenePool provides clinical interpretation and clinical reporting supported with unparalleled visualization, analytics within a secure HIPAA compliant and web-based collaborative environment. Through published APIs, GenePool is also able to integrate with existing LIMS systems and leading third-party data storage and management platforms including AWS, Google Cloud, BaseSpace and several upstream secondary analysis providers. Station X continues to harness the power of the robust architecture of GenePool built upon AWS and support its customer base. A recent technical blog post on the use of AWS Lambda can be found here.

Station X has joined forces with key strategic partners in the genomics landscape, bringing valuable end-to-end solutions by integrating industry-leading technologies. At this event, ConvergeHEALTH, partnered with Station X, will showcase live demos of GenePool in a novel integrated solution:

Demo Abstract:          

In the journey towards Precision Medicine, biomedical researchers are confronted with classic big data challenges - large volumes of disparate data types in silos that require significant data wrangling and analytics development efforts before they can begin o explore their research hypotheses. We will demonstrate a cloud-based, information integration factory that delivers relevant data on demand to researchers through an easy to use, extensible analytics and visualization portal. Multiple Precision Medicine use cases will be addressed in real time.

To secure a meeting at the event or for further information, please contact