From sample to data to discovery: get most out of your experiments

Omics data is becoming ubiquitous both in biological and, increasingly, medical research. Rapid developments in reagents, sequencing technologies and analysis are constantly pushing down costs while increasing the amount of data generated, which in turn drives the need for more powerful and efficient analysis approaches.

To discuss this and more, BigOmics Analytics will be presenting together with Eppendorf® and nRichDX® in a joint workshop at the 55th annual European Human Genetics Conference taking place from June 11th to 14th, 2022 in Vienna, Austria.

The workshop will demonstrate how to go from data to insight and which tools can be utilized throughout this process. First, sample preparation solutions such as the Revolution Semi-Automated Workflow™ platform, will be presented by nRichDX, followed by Eppendorf with epMotion® which allows for the automation of next-generation sequencing (NGS) library preparation.

Next-generation sequencing sample preparation is a labor-intensive process, which requires experience, precision and accuracy to generate high-quality NGS libraries. The Eppendorf epMotion can automate this pipetting-intensive protocol into a ready-to-run procedure with minimal user-interventions and setup time even for runs with low sample numbers. To minimize programming time and get you up and running quickly, Eppendorf provides pre-optimized and manufacturer-qualified next-generation sequencing reagent kit methods that will result in reproducible preparation of high-quality NGS libraries.

The output of such processes brings challenges such as data visualization and interpretation. We are currently experiencing a nearly exponential increase in the generation of omics data, accompanied by the development of more powerful and sophisticated analysis methods.

From samples to insight, the initial bottleneck constituted by the lack of whole genome data that slowed down the pace of discovery (A), research has moved through a second bottleneck represented by the pace of data processing (B) and finally reaching a third bottleneck due to the current limitations in the scalability of data discovery and visualisation (C).

However, we are also experiencing a bottleneck in the analysis and visualization of such data. Bioinformaticians are in high demand, leading to inevitable delays, while the learning curve for biologists to analyze their data gets steeper every year.

At BigOmics, we address this bottleneck by developing user-friendly, yet powerful, data discovery platforms that can make even sophisticated analysis approaches accessible to biologists without the need for coding skills.

In this workshop, Axel Martinelli, Head of Biology at BigOmics, will present Omics Playground, an online visualization software for the analysis of transcriptomics and proteomics data. The platform was designed to allow bioinformaticians to delegate the more routine aspects of their work to biologists, while allowing the latter to perform both basic and more advanced analysis, such as GSEA and biomarker discovery, and to produce publication-quality figures.

Don’t miss the full workshop! Register now and join us on Saturday, June 11, 2022, from 10:00 am – 11:30 am CET to learn more.

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About BigOmics Analytics

At BigOmics we develop intelligent software to empower biologists in data discovery. With our platforms, we support BioTech & Pharma companies, as well as academic labs, in the field of data-driven therapeutics and precision medicine. Our flagship platform is Omics Playground, an intelligent software for visualizing and analyzing transcriptomics and proteomics data types.