Managing Data Effectively

OpenGenomeBrowser is a powerful tool for genome data management and comparative genomics. Its user-friendly interface seamlessly enhances your ability to derive maximum insights from well-organized data and speed up the R&D process.

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Pathways Compare gene Phylogenetic trees Annotation search Dotplot Flower plot Gene trait matching BLAST Design fermented foods Discover antibiotics Study pathogens

Key Challenges

Ever more genomic data is available, shifting the bottleneck from data generation to data management and data analysis.

OpenGenomeBrowser makes comparative genomics organized, easy and fast, reducing analysis time from hours or days to mere minutes.

Genomic Challenges

As genomic data continues to grow, the demand for systematic organization, exploration, comparison, analysis, and sharing escalates. However, existing platforms are often unsuitable, with different interfaces and limited functionality. What's more, they're often closely tied to specific datasets, which poses significant challenges for software adoption across different projects.

Data Management

The exponential growth in data, driven by the decreasing costs of sequencing, has presented a formidable challenge in the realm of data management. The sheer abundance of information has outpaced traditional approaches, necessitating innovative solutions to effectively organize, analyze, and derive meaningful insights. In recognition of the urgency of this issue, we are committed to addressing the evolving landscape of data management and ensuring efficiency and reliability in the face of ever-expanding datasets.

Cumbersome Data Analysis

The intricacies of data analysis pose a significant challenge in today's landscape. Even routine workflows frequently demand proficiency in computer programming. This complexity adds layers of difficulty to the analytical process, impeding efficiency and accessibility. In the face of these challenges, we strive to streamline data analysis and provide solutions that empower users regardless of their programming background.

Shortage of Bioinformaticians

In the realm of microbial genomics, the scarcity of skilled bioinformaticians presents a pressing challenge. The flourishing landscape of microbial genomics stands in stark contrast to the limited availability of professionals well versed in bioinformatics. This scarcity hinders potential breakthroughs and discoveries in this dynamic field. We believe fostering opportunities for collaboration and the growth of bioinformatics expertise will help bridge this gap.

Solution

Introducing OpenGenomeBrowser—the first self-hosted , versatile, dataset-independent, scalable web platform designed for genome data management and comparative genomics.

Tailored Services for You

We are here to support your microbial genomics needs with our services centered around OpenGenomeBrowser!

Setup Consulting

Efficiently integrate OpenGenomeBrowser into your workflow with our expert Setup Consulting for a seamless implementation process.

Data Migration

Migrate your data effortlessly into the browser with our assistance to ensure a swift transition.

Tailored Training

Empower your team with our tailored training sessions to maximize their proficiency with OpenGenomeBrowser's capabilities.

Maintenance and Support

Get expert support whenever needed for OpenGenomeBrowser with our Maintenance package.

General Consulting

Leverage our team's expertise for personalized guidance and solutions in bioinformatics consulting.

Genome Processing

Streamline your research workflow by entrusting us with processing your genomes to ensure accurate, timely results.

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Why our clients love working with us

I'm a biologist, I love working in the lab but I'm not so much into bioinformatics. Now that my genomes are sequenced and loaded into OpenGenomeBrowser, I can do almost everything I needed just by clicking myself through website!

Lisa Thönen, PhD
Biologist, OneHealth, University of Basel

OpenGenomeBrowser stands out for the range of tools available for genome analysis and for their ease of use. It requires no prior scripting skills and is very user-friendly. I use it several times a week, to search for genomes with particular characteristics or to compare strains from our collection. Compared with conventional bioinformatics tools, it saves a lot of time.

Noam Shani, PhD
Head of Culture Collection, Agroscope

Genomics data storage and sharing can be a challenging and time-consuming task. While it doesn’t fall squarely into the realms of research, it remains a critical aspect of our work. Fortunately, OpenGenomeBrowser can alleviate some of that burden.

Hatice Akarsu Egger, PhD
Bioinformatician, Veterinary Bacteriology, Vetsuisse

Without OGB, the data is just stored somewhere and only really accessible by my bioinformatician because he can code. Thanks to OGB, I can just work with the genes that interest me, compare different variants and so on. Without it, it was just not possible, I would have had to learn everything.

Lisa Thönen, PhD
Biologist, OneHealth, University of Basel

The scientific collaboration with my customers has sped up significantly thanks to OpenGenomeBrowser. Before using OGB, we were often losing time with relatively trivial analyses. Thanks to OGB, my customers can do much by themselves!
Marco Kreuzer, PhD
Bioinformatician, IBU, University of Bern

Once or twice, I was just sitting in a train and suddenly had a question about my research. Using my phone, I quickly accessed OpenGenomeBrowser and my question was answered!
Lisa Thönen, PhD
Biologist, OneHealth, University of Basel

OpenGenomeBrowser offers the tools that I need: compare genes, proteins and genomes. It's very straightforward.
Jan Franzen, PhD student
Biologist, Animal Pathology, Vetsuisse

OpenGenomeBrowser in Action

OpenGenomeBrowser streamlines genome data management, providing a platform for user-friendly data analysis that eliminates the necessity of programming skills. This, in turn, reduces product development time. The main tools include pathways, gene comparison, phylogenetic trees, annotation search, dot plot, flower plot, gene trait matching, and BLAST, collectively enhancing the efficiency and accessibility of genomic research.