"We have a high volume of experiments and we want results promptly. The Qlucore software is definitely helping. It means that cell biologists like myself can look at data, analyze and perform statistical analyses for a presentation or a paper without having to go through our bioinformatician."
Dr Elena Matsa, Stanford University, US
"What has been interesting since using Qlucore, says Dr. Singh, is how the software has made it possible for the biologists to visualize their research results in striking ways."
Dr Sasha Singh, The Center for Interdisciplinary Cardiovascular Sciences, Boston, US
“Qlucore is a really great way to explore large data quickly.”
Darragh Duffy, PhD, Institute Pasteur, France
"In this process of this study, we have found that Qlucore has been very helpful in supporting a biologist without sufficient mathematic background to apply bioinformaticsapproaches in their studies. This has been essential for the implementation of the project."
Xiaolong Fan, Professor, Beijing Normal University, China
“Qlucore allows me to do analysis on my own. There are things that I know are biologically relevant that I can check on the fly.”
Steven Kornblau, Professor, UT MD Anderson Cancer Center in Houston, Texas, US
"The versatile data import and the ease of use are important benefits. Qlucore forms a key role in our research.”
Dr Adam Stevens, University of Manchester, UK
“The strength of the Qlucore software is being able to conduct and validate statistical analyses and also produce a variety of visualizations.“
Nardin Samuel, MD/PhD, Cancer Genetics Program at the Hospital for Sick Children (SickKids) in Toronto, Canada.
“Qlucore is indeed an impressive tool. It is very fast and delivers excellent control of the analysis. I really enjoy it.”
Ole Ammerpohl, PhD, Kiel University, Germany
“With Omics Explorer, we could work together with the proteomics and transcriptomics data on the same platform so there was no need translate the outputs from one tool to another. It made it very easy to compare data, to communicate amongst the researchers, and to discuss the next steps.”
Dr Josef Rasinger, National Institute of Nutrition and Seafood Research (NIFES), Norway
"With Qlucore we have been able to visualize and rapidly explore microarray data collected from 2 years’ research in less than a few hours."
Carl Borrebaeck, Professor Lund University
"With synchronized plots of patients and genes I have discovered new patterns."
Frida Abel, PhD, Sahlgrenska University Hospital Gothenburg
"The freedom for me to explore data in innovative ways has led to new discoveries."
Pierre Åman, Professor, Gothenburg University
“Qlucore Omics Explorer fulfils an idea we have been considering for 18 months or so, all in the space of a few minutes.”
John Lock, PhD, Karolinska Institutet, Sweden
“I’m very excited using Qlucore Omics Explorer which besides the 3‐D dynamic PCA also offers a broad range of statistical methods such as t‐test, ANOVA and regression.”
Philippe Guardiola, Ph D, Plateforme SNP, Transcriptome & Epigenomique, University Hospital Angers, France
"For me, one of the most compelling reasons for choosing Qlucore's Omics Explorer for the Human Protein Atlas program was its simplicity."
Professor Mathias Uhlén, Royal Institute of Technology, Sweden
"Not only was the software highly interactive, but it could also be easily understood by biologists, even if they had little or no previous knowledge of bioinformatics."
Dr Kulkarni, Division of Ophthalmology and Visual Sciences at Queen’s Medical Centre (QMC), University of Nottingham, UK
“Qlucore Omics Explorer is the best software on the market and I use it several times a week.”
Professor Finn Cilius Nielsen, Copenhagen University Hospital, Denmark
“Overall, Qlucore is an intuitive and comprehensive toolset empowering scientists to understand the story that data tells, without an obligation to consult with biostatistician for every minor detail of upcoming analysis.”
Vera Nezgovorova, Postdoctoral Associate, Yale School of Medicine, USA