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Building a more scalable and integrated Life Science Data landscape

Building a more scalable and integrated Life Science Data landscape

Driving precision medicine and the evolution of clinical data management

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.

Virtual talk: Omics biomarker discovery and strategies for use in clinical trials

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.

Industry Insights & Demo Series - Bio-IT World 2020

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.

Bridging the gap: Helping organizations make a success of Life Science Data integration initiatives

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 - Democratizing genomic-biobank data access to speed up personalized medicine

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.

Genomic-biobank data resources: democratizing access to accelerate personalized medicine

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.

Deriving Insights from Omics Datasets via AI-enabled Pathway Analysis

Deriving Insights from Omics Datasets via AI-enabled Pathway Analysis

Technology and strategy for multi-omics visualizations

Technology & strategy for building multi-omics visualisation apps.

A webinar presented by our bioinformatics and data science expert Kevin Dialdestoro in June 2020

Omics biomarker discovery and strategies for use in clinical trials

Omics biomarker discovery and strategies for use in clinical trials.

A talk by Dr. Misha Kapushesky, the CEO of Genestack, at the DIA virtual conference in June 2020

Webinar: How to manage Life Science Data and metadata at scale

Life Science Data has become a cornerstone for successful R&D and clinical trials. In this webinar, Kevin Dialdestoro shares solutions for designing metadata models with rich terminologies, revamping metadata capability with semi-automated processes, implementing a successful cross-department data commons.

Integrating omics and clinical data

Learn how to integratively query data across different omics and clinical systems, explore & stratify patients, perform advanced biomarker discovery. For translational researchers.

Integration of multi-omics with clinical trials data

Integration of clinical data with Life Science Data.

What are APIs and why are they important

You can REST and APIs will do the work for you.

Glossary of data management

A glossary of data management terms.

What are metadata and why are they so important to the omics industry?

What are metadata and why are they so important to the omics industry?

Metadata and the need for consistency

Metadata and the need for consistency and accuracy.

The FAIR principles of data management

The FAIR principles: what are they and why are they important?

A FAIR genLife Science Data and metadata management system

A FAIR genLife Science Data and metadata management system - how to enhance the reusability of your data.

The Importance of Metadata in Genomics and the FAIR Principles

Metadata, the FAIR principles, and their importance in genomics. Download the ebook.

FAIR data management system

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.

Data management infrastructure

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.

Exploration of gene expression data

Learn how we built an app for exploring gene expression data from RNA-seq and microarray studies.

Visual analytics for transcriptomics

Two custom apps for the exploration of transcriptomic heterogeneity in spike-in-free single-cell RNA-seq data.

Life Science Data catalogue with integrative search & curation

Learn how Genestack ODM is getting adopted by one of the top firms in the agriscience space.

KnetMiner tools integration

Integration of data mining and bioinformatic tools to enable scientists to accelerate genomics-based crop improvement and protection.

Multi-omics network mining in Genestack for agri-research and beyond

Multi-omics network mining in Genestack for agri-research and beyond

How can pharmas extract greater value from large-scale population studies

How can pharmas extract greater value from large-scale population studies

From data to knowledge

From Data to Knowledge: Making GenLife Science Data Live Longer

A talk by Dr. Misha Kapushesky, the CEO of Genestack, at the Revolutionizing NGS conference 2017

Improving Plant Breeding Using KnetMiner

Improving Plant Breeding Using KnetMiner

A talk by Philipp Bayer at the Genestack workshop organised at PAG 2017

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