Highlighted:
Data strategy, Knowledge
Building a more scalable and integrated Life Science Data landscape
Clinical
Today we are within the threshold of a transformation, with pharma beginning to recognise the value of their existing data assets and using these to empower future research. In this industry article we reflect on this transformation, as well as on the journey that led us where we are.
Webinar, Clinical
Join us at the DIA 2020 Virtual Global Annual Meeting on Jun, 18. Our CEO Misha Kapushesky will discuss data management strategies for using cross-trials data to find robust biomarkers, and challenges of translating them from research to clinical.
Demo
Data Science experts Kevin Dialdestoro and Qian Gao share industry insights on Life Science Data management and integration, and showcase how Genestack can help improve your organization's data landscape. From Bio-IT World 2020.
Data strategy
Our flagship software, Genestack ODM (ODM), and collaborative process are designed to help organizations succeed in their data integration initiatives. Learn how your organization can benefit from our 4-step process, from discovery phase to implementation and beyond.
Webinar
Learn how your organization can project savings of over $300M per drug through unprecedented biobank-enabled insight into disease’s biology, candidate drug targets, and drug portfolio repositioning.
Data strategy, Knowledge
Rapid advances in biobanking and genomics have resulted in unprecedented data resources. However, extracting value from biobank data resources posed data management, navigational, and scalability challenges. Read more.
Data strategy, Knowledge, Case study
Deriving Insights from Omics Datasets via AI-enabled Pathway Analysis
A webinar presented by our bioinformatics and data science expert Kevin Dialdestoro in June 2020
A talk by Dr. Misha Kapushesky, the CEO of Genestack, at the DIA virtual conference in June 2020
Clinical, Data strategy
Integration of clinical data with Life Science Data.
Knowledge
You can REST and APIs will do the work for you.
Knowledge
A glossary of data management terms.
FAIR data
What are metadata and why are they so important to the omics industry?
FAIR data
Metadata and the need for consistency and accuracy.
FAIR data
The FAIR principles: what are they and why are they important?
FAIR data
A FAIR genLife Science Data and metadata management system - how to enhance the reusability of your data.
FAIR data
Metadata, the FAIR principles, and their importance in genomics. Download the ebook.
Case study
We worked with a top pharma to develop a FAIR-compliant data catalogue with centralised data access, data curation tools and integrative data mining through APIs and a graphical user interface.
Case study
We developed a centralised infrastructure for recording, storing, and querying private and public transcriptLife Science Data, and a meta-analysis app for aggregating differential expression results across experiments.
Case study
Learn how we built an app for exploring gene expression data from RNA-seq and microarray studies.
Case study
Two custom apps for the exploration of transcriptomic heterogeneity in spike-in-free single-cell RNA-seq data.
Case study
Learn how Genestack ODM is getting adopted by one of the top firms in the agriscience space.
Case study
Integration of data mining and bioinformatic tools to enable scientists to accelerate genomics-based crop improvement and protection.
Data strategy
Multi-omics network mining in Genestack for agri-research and beyond
Data strategy
How can pharmas extract greater value from large-scale population studies
A talk by Dr. Misha Kapushesky, the CEO of Genestack, at the Revolutionizing NGS conference 2017
A talk by Philipp Bayer at the Genestack workshop organised at PAG 2017