Genestack Platform is a universal collaborative ecosystem for bioinformatics research and development. It allows users to store and share large data sets securely within and across organizations, with free access to public data from major databases. The platform includes open-source and proprietary genomics applications, working together independent of file formats. For developers an SDK, APIs and a marketplace are provided.Get started now!
File format-independent genomics applications. Flexible access management with intra- and inter-organisational collaborative groups. Offline and offsite data import/export and long-term archival.
Free access to manually annotated public datasets from repositories such as ArrayExpress, GEO, SRA and ENA, including 1000 Genomes, Illumina Body Map and many others.
Sequencing data quality control, exome and genome analysis, variant calls, somatic mutations, RNA-Seq and ChIP-Seq data analysis and visualisation.
Data can be encrypted, at rest and in transit, using some of the strongest cyphers available. Customer data and applications are kept in maximally isolated sandboxes and never mix.
An extensive SDK and APIs for integrating command-line Unix tools and developing new genomics applications is provided, targeting scripting languages like Python, statistical enviroments (R) and compiled languages (Java).
Access the system via a web browser from anywhere. Scale up your compute needs in the cloud, with virtual private and hybrid clouds to maximize security and simplify provisioning.
We are looking for people who want to take part in the genomics revolution to join our team.
Please send a covering letter and a CV to firstname.lastname@example.org. We welcome applicants with strong
backgrounds, even if your experience does not match our requirements exactly.
We are looking for an opinionated, senior level bioinformatician with experience in dealing with all manner of genomics analysis. You'll need to have experience working with NGS data (WGS, exomes, RNA-seq, ChIP-seq, metagenomics, comparative genomics), and want to lead the development of new analytical tools, pipelines and methods. There is great choice of tools available today: assemblers, aligners, callers, normalization methods, etc., and you need to be aware of their strengths and weaknesses and help us choose the right ones for the job. Hopefully, you have written a number of pipelines yourself, in Perl, Python, R, Ruby, shell, C, whatever it took. If you agree with us, that a better platform for bioinformatics is needed to help bioinformaticians get their job done easier and more robustly, you should join us!
We offer competitive pay, long hours, lots of work and various bonuses you'll find in a startup. Send us an email/give us a call.
Looking for someone to help us expand our biological data model, to add new data processing methods.
You will write code in various programming languages (Java and Python, mostly), get to grips with biological concepts, file formats used in bioinformatics, and tools to work with them.
We do not expect that you are expert in everything you'll need for this job. Therefore the main thing is a desire and ability to learn.
Not necessary, but would be a plus:
Working at Genestack Russia
Genestack is a new company, founded by former European Bioinformatics Institute employees, launching in early 2012. We possess wide expertise in bioinformatics, ranging from functional genomics data analysis, algorithm design and data visualization to next-generation sequencing data processing and quality control, and between us the team has over 50 years of experience in computer science and software engineering of the highest calibre. We are based in Cambridge, United Kingdom and St. Petersburg, Russia.
We are building a universal platform for bioinformatics development, aimed to reduce the chaotic clutter of inefficiency and incompatibility in today’s bioinformatics tools ecosystem.
Genestack Platform is a secure bioinformatics data hosting and computation environment, finely tuned to the requirements of large-scale datasets and complex analytical workflows of the kind seen in processing of next-generation sequencing results.
We are proud to announce that you can now sign up to test Genestack Platform Alpha. Just go to https://alpha.genestack.com and check out the platform. We'll soon post more information on how to load your own data and start building your own apps!
Our CEO Misha Kapushesky is presenting Genestack Platform at Bio-IT World on Wednesday, April 10. See you in Boston!
We opened our alpha to those who signed up for early access! Send us an email if you want an invite!
In preparation for the release of early access beta of Genestack Platform we have updated our website and are taking requests from future beta testers. If you already signed up, you do not need to sign up again, we will be in touch very soon.
Phase 2 of the Pistoia Alliance Sequence Services Project has produced three different implementations for managing and analyzing next-generation sequencing data in the cloud. In this webinar, Rob Gill, CTO, Constellation Technologies and Misha Kapushesky, CEO, Genestack, will introduce the implementation developed by their consortium. The session will be moderated by Simon Thornber, Sequence Services project lead.
Presenting in the Cloud Computing track as a Featured Speaker, Dr. Kapushesky, Genestack CEO, introduces a preview of the Genestack Genomics Applications Platform. We made available the slides from the presentation on SlideShare.
Pistoia Alliance, a not-for-profit consortium of pharmaceutical companies, launched the Sequence Services Phase 2 project, seeking a platform for analyzing and storing next-generation sequencing (NGS) data. We were selected from more than 10 submitted proposals, and, working together with Constellation Technologies, a spinout from Rutherford Appleton Laboratory, presented our platform at the Pistoia Alliance meeting in Boston in April 2012.