📣 Exciting News! We're thrilled to welcome Andreas Schmidt (PhD.) as an Independent Board Member at BigOmics 🎉 With a deep-rooted background in personalized medicine and a wealth of experience in biotech, Andreas has consistently driven innovation at the intersection of science and technology. As a serial entrepreneur and board member of multiple companies, Andreas brings unparalleled expertise in precision medicine and a unique ability to bridge technical insights with business strategy. His expertise will greatly enhance the adoption and commercialization of BigOmics' platforms, empowering biotech teams of biologists and bioinformaticians to perform omics data discovery for drug development and collaborate more effectively. “One of the main bottlenecks I see with so many life sciences projects is that they get stuck in analyzing the data after wet-lab in an efficient and timely way. BigOmics' data analysis platform caters especially to the needs of biologists and life sciences professionals - rather than only addressing the much smaller group of data scientists and informaticians”, says Andreas. We’re excited for the journey ahead with Andreas on board! 🚀 – For more information about BigOmics and the team, please visit https://lnkd.in/etfnAAqT ✨ #biotechnology #biotech #pharma #bioinformatics #omicsdata
BigOmics Analytics
Biotechnologieforschung
Lugano, Ticino 4.947 Follower:innen
Democratizing omics data analytics.
Info
At BigOmics, we are committed to empowering researchers in omics data analysis. Our Omics Playground is an intelligent omics data analysis platform that empowers biologists to perform complex analysis and visualization themselves and helps bioinformaticians delegate routine analysis. Governed self-service bioinformatics provides you with a powerful solution to fast-track your bioinformatics needs.
- Website
-
http://www.bigomics.ch
Externer Link zu BigOmics Analytics
- Branche
- Biotechnologieforschung
- Größe
- 11–50 Beschäftigte
- Hauptsitz
- Lugano, Ticino
- Art
- Privatunternehmen
- Gegründet
- 2018
- Spezialgebiete
- bioinformatics, transcriptomics, proteomics, omics data analysis und big omics data
Produkte
Omics Playground
Bioinformatik-Software
Omics Playground is an online self-service analytics platform that empowers life scientists to perform complex analysis and visualization by themselves, without the need to learn how to code. The platform focuses on the tertiary analysis (i.e. interpretation) of transcriptomics (e.g. micro-array, RNA-seq, scRNA-seq) and proteomics data, providing you with highly interactive visualization tools to understand your data. - More than 18 interactive modules - More than 100 HQ plots - Best-in-class algorithms - Cloud-based and open source. Try it now at: https://public.bigomics.ch/.
Orte
-
Primär
Via Serafino Balestra 12
Lugano, Ticino 6900, CH
Beschäftigte von BigOmics Analytics
-
Lorenzo Leoni
Scientific Serial Entrepreneur, Investor, Mentor, Life-enthusiast. Managing Partner at TiVentures and Creadd Ventures
-
Dr. Jochen Mueller-Ibeler
Head of New Business Development - Eppendorf Innovation Company (EpIC) - Life Science Expert
-
Markus Gröninger
CEO & Founder edux gmbh
-
Axel Martinelli
Head of Biology at BigOmics Analytics
Updates
-
🎉 It was great for us to have sponsored this year’s #EuroBioconductor Conference! A big thanks to Bioconductor and the University of Oxford for organizing and hosting the event! It was an incredible experience to connect with the bioinformatics community and showcase our latest work on the NPmatch algorithm 🚀 NPmatch offers a powerful approach for Batch Effect correction to maximize discovery. It's particularly impactful in clinical research, where latent batch effects can pose major challenges. By enhancing reproducibility and reliability, NPmatch has the potential to improve the quality of omics studies across the field. 💡 🔗 Explore NPmatch in action on Omics Playground! Register for a free trial at https://lnkd.in/e4Spirn7 ✨ #bioinformatics #biomedicalresearch #omicsdata #clinicalresearch #reproducibility #batcheffects
-
Excited to be at #EuroBioc2024! 🎉 If you're attending, swing by the poster section to meet our amazing team. We'd love to chat about bioinformatics innovations, share insights, and explore collaborations with you! 👋 Bioconductor #bioinformatics #omicsdata #rnaseq #proteomics
-
We're excited to officially welcome Xavier Escribà Montagut to our core team as a Software Engineer! 🎉 With a PhD in Bioinformatics and a strong collaboration with BigOmics since 2023, Xavier contributes a vast array of expertise and experience to our team. « I am excited to join BigOmics as an opportunity to push the boundaries of streamlined omics data analysis. I’m looking forward to contribute to the project and collaborate with a team that is dedicated to revolutionize how we handle complex data in the life sciences. I also look forward to growing as a professional, learning new skills, and continuing my DevOps learning journey. » — Xavier We’re beyond excited to see the incredible impact he’ll make, and we're confident he’ll play a key role in our future successes. 🚀 Join us in welcoming Xavier to the team! #teamgrowth #welcometotheteam #bioinformatics #softwareengineering #omicsdataanalysis
-
🚀 We're thrilled to be back at the EuroBioC conference this year! Beyond sponsoring the event, we’re also excited to present our latest work on the NPmatch algorithm—a nearest-pair matching solution designed to tackle the challenge of batch effects in omics studies. In a field where reproducibility and reliability are critical, NPmatch offers a promising and fast approach to correct technical or experimental biases and allows a more reliable comparison across samples, experiment batches or even datasets. Don’t miss the chance to dive deeper—meet our representative, Antonino Zito, at the conference! ✨ We can't wait to reconnect with the Bioconductor community. See you there! #EuroBioC2024 #bioconductor #bioinformatics
-
BigOmics Analytics hat dies direkt geteilt
With the increasing amount of publicly available RNA sequencing data, scientists can now contextualize their results, create data-driven hypotheses, and uncover trends across different studies. Here are the top 5 public databases for RNA-seq data: ➡️ The Gene Expression Omnibus (GEO) hosted by The National Institutes of Health. ➡️ The Expression Atlas hosted by EMBL. ➡️ The Genotype-Tissue Expression (GTEx) hosted by the Broad Institute of MIT and Harvard. ➡️ The Cancer Genome Atlas (TCGA), maintained by the NIH. ➡️ Recount3 from the Langmead lab. Discover more about each repository and how to access them at 👉 https://lnkd.in/ewsR2Kgy -- Compare your data to 6000+ public datasets with Omics Playground! Learn more at https://lnkd.in/eUnFPwEt ✨ #bioinformatics #computationalbiology #rnaseq #publicdatabases #omicsdata #omicsdatabases
-
Yesterday's seminar at EMBL's GeneCore Facility was a fantastic experience! We had the pleasure of discussing how to streamline collaboration by easily sharing omics data and insights using our Omics Playground platform 🤝🚀 We explored various applications using a glioblastoma dataset, including: 🔍 Basic analyses 📊 Comparing experiments 🔬 Biomarker discovery 💊 Drug connectivity Thank you to everyone who attended, and a big shoutout to EMBL for their incredible hospitality. Special thanks to Jonathan Landry, Vladimir Benes, and Jan Provaznik—it was wonderful meeting you all in person. Looking forward to further collaborations ahead! #rnaseq #proteomics #omicsdata #bioinformatics #computationalbiology #biomarkerdiscovery #drugconnectivity #omicsplayground
-
How does WGCNA work, what can you expect from the approach in your next RNA-seq study, and what are its limitations? Weighted gene co-expression network analysis (WGCNA) is a powerful all-in-one analysis method that allows biologists to understand the transcriptome-wide relationships of all genes in a system rather than each gene in isolation. Discover the four steps of WGCNA and learn to perform it interactively with Omics Playground! Read the full blog post at ➡️ https://lnkd.in/egBk6NgM #WGCNA #omicsdata #rnaseq #transcriptomics #bioinformatics #computationalbiology #omicsplayground
-
Great example of how you can now use our Omics Playground platform to analyze plant datasets 🔍 Try it now at https://lnkd.in/eUnFPwEt ✨ #plantbiology #plantscience #transcriptomics
For this post, I decided to explore our expanded species feature that now allows Omics Playground (OP) to support more than 1000 species, including most crops and fruit trees. I thus found a recently published dataset (https://lnkd.in/eyTn_VCg) by Torsten Möhlmann and colleagues of the University of Kaiserslautern (TU-KL) on the role of uracil phosphoribosyltransferase (UPP) in chloroplast function in the model plant Arabidopsis thaliana. In this study, the authors exposed both Wild Type (WT) and UPP knock-down (KD) plants to high light or medium light (control) for three hours and then sequenced their transcriptomes. Through OP I first of all identified the typical signatures of high light stress induced in both WT and KD plants, with the latter exhibiting a more marked upregulation of genes associated with stress, such as responses to UV light, as well as the upregulation of Flavonoid and vitamin B6 biosynthesis (Fig. 1A). This was further supported by using the Biomarker discovery module, which identified a significant upregulation of both ELIP1 and ELIP2 genes under high light conditions and an even more marked increase in KD plants (Fig. 1B). Both genes are typically upregulated during exposure to high light stress conditions. Additionally, the gene RPP2D (a cytosolic ribosomal protein located in the chloroplast) is downregulated in KD plants (data not shown), which could indicate its involvement in the chloroplast proteostatic function of UPP, as suggested by the authors in their article. Finally, the platform also utilized the Drug Connectivity Map database to highlight the potential protective role of Histone Deacetylase (HDAC) inhibitors against high light exposure (Fig. 1C), aligning with their known roles as regulators of stress responses in plants and the antioxidant properties of some HDAC inhibitors. To conclude, the platform was able to capture the main aspects of high light stress in A. thaliana, underscores the more extreme upregulation of stress-induced genes in UPP KD plants and finally suggest HDAC inhibitors as a mode of action to protect plants from high light expose. #Plants #Athaliana #RNAseq #transcriptomics #OmicsPlayground #Photosynthesis
-
BigOmics Analytics hat dies direkt geteilt
It is a great pleasure for us to present BigOmics Analytics at the Swiss Proteomics Annual Meeting organized by Life Sciences Switzerland (LS2). Together with my colleagues Axel Martinelli and Antonino Zito we are happy to discuss the analysis and discovery of proteomics data using Omics Playground. In particular, we have two oral presentations today where we discuss the analysis of Olink Proteomics datasets using the platform by Axel and detailed guidelines on normalization and imputation of missing values for Mass Spec datasets by Antonino. Looking forward to a fruitful discussion. #Proteomics #Omics #MassSpec #Olink #DataDiscovery #OmicsPlayground