How to convert FASTQ files into read count tables using Galaxy
This short guide is meant for biologists with little or no coding or bioinformatic experience and no access to a bioinformatician. It is not meant to be comprehensive, but rather …
In life sciences, omics data is growing exponentially fast. The bottleneck is not the data but its analysis. Self-service data analytics provides a powerful solution to solve your bioinformatics needs, saving time, getting results faster.
From data to insight, analyze your data exactly the way you want.
Analyze Big Omics Data. Yes it’s big. But don’t worry, we promise it’s friendly.
Your analytics in the cloud. It doesn’t have office hours or goes on coffee breaks.
State-of-the-art algorithms to analyze your data are just one click away.
BigOmics is focused on one thing — helping life scientists see and understand their omics data. Our mission is to create smart tools and make advanced omics analysis accessible to everyone.
Life scientists are drowning in data from their omics experiments. These data hold the key to new scientific discoveries and promise to revolutionize health care. However, current tools are just too difficult to use and the analysis takes too much time, therefore keeping back new discoveries.
Our solution: make omics analytics easy. We’ve built self-service analytics platforms for big omics data that empower life scientists with powerful but easy-to-use interactive dashboards so that they can explore and analyze their data themselves. Democratize omics analytics.
Shift your discovery process into high gear. Before, it could take weeks or months to make sense of your omics data. Now, with our platforms, your data is analytics-ready within minutes, and you can start exploring and get results right away.
Our platforms empower biologists to perform complex analysis and visualisation by themselves, without the need to learn how to code. Easy-to-use but bringing you some of the most powerful analysis tools to get the most out of your omics data.
Our flagship platform provides highly interactive visualization tools to understand your transcriptomics and proteomics data.
Interactive visualization platform for immune repertoire analysis in immunomics and immuno-oncology.
Powerful integration of multiple omics data types, such as genomics, transcriptomics, and proteomics.
OmicsPlayground offers a way to analyze Omics datasets at a much deep level, that is often not accessible to biologists who are less/not proficient in bioinformatics analysis. The customer support ranges between outstanding to exceptional. I highly recommend it as a primary tool for analysis of Omics datasets.
In terms of providing a solution to both bulk and single-cell RNA-Seq analyses, Omics Playground is thought to provide the most options, being more extensive in terms of additional features.
A close friend is using PathwayStudio and to his surprise I have more features in Omics Playground!
It’s really fun. You can easily play with a lot of options that lead you to discover so many aspects of the sequencing by yourself.
We now have a user-friendly tool to rapidly analyze big datasets ourselves. I recommend BigOmics to any lab looking to improve their data analysis.
This short guide is meant for biologists with little or no coding or bioinformatic experience and no access to a bioinformatician. It is not meant to be comprehensive, but rather …
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 …
Browsing through the most recent proteomics dataset on the public PRIDE database, I came across this study (PXD033148) from Wang and colleagues at Xiangya Hospital of Central South University in …
Lugano, March 17, 2022 – BigOmics Analytics, a Swiss biodata analytics startup, announces raising additional funding from Eppendorf, a leading life science company that develops and sells instruments, consumables and …
For this post, I will re-analyse the transcriptomic data from a recently published article on the role of osteopontin on prostatic fibrosis and inflammation (Popovics et al, 2021). Fibrosis occurs …
Remix Therapeutics is a Boston-based biotechnology company developing novel small molecule therapies for reprogramming RNA processing and treating disease in entirely new ways. As protein targeting therapies reach the limits …
Bellinzona, Switzerland, December 10, 2021 – BigOmics Analytics SA (“BigOmics”), a Swiss biodata analytics startup, announced today that it raised a total of $1.85 million in financing. This funding will …
We are excited to announce that we are exhibitors at the BioData & Genomics Live World Congress in Basel. BioData World covers big data in pharmaceutical development and healthcare. Genomics …
The original article by Stilling et al (2018), described the association between gut microbiome composition and social behaviour in mice. They compared the social interaction of germ-free mice (GF, devoid …
The analysis of omics data involves the collaboration of biologists and bioinformaticians. They need each other to generate the data and analyse it. Biologists have a deep understanding of the …
We are excited to announce our sponsorship at the [BC]2 conference that will take place at the Congress Center Basel and online. The conference is organized by the Swiss Institute …
The Genotype-Tissue Expression program (GTEx) is an extensive collection of gene expression profiles from 54 different tissue sites across more than 1000 individuals. This data can provide various insights on …
For this brief article, I have decided to re-analyse the RNA-seq data from a recently published paper on the osteoarthritis-like (OA-like) transcription changes induced in response to Interleukin-17 (IL-17) (Mimpen …
Amidst the talks of personalised medicine, it is easy to forget that cheap large scale genome sequencing is a recent phenomenon that started in the early 2000’s with the development …
For this post, I decided to re-analyse a dataset from a recent article by Logie et al (2021) using our Omics Playground platform. Multiple Myeloma (MM) is a malignancy that …
This post is based on two recent blog posts on the state of the bioinformatics industry. In them, the authors (Philipp Zentner and Tatsiana Aneichyck) point out the issues currently …