Millenium Pharmaceuticals

"ProteinCenter is a great bioinformatics tool to analyze (such as sorting, comparing, categorizing and presenting) results of large scale proteomics studies. In addition, it provides a centralized platform for quick and easy access to various public and customized databases."

Dr. Hua Liao

Johns Hopkins University School of Medicine

"ProteinCenter has really been a huge part of streamlining the data analysis process, and the ability for comparisons is really essential"

Rebekah L. Gundry, PhD,  Bayview Proteomics Research Center

Biogen Idec

“ProteinCenter is an essential tool for rapid biological interpretation of complex proteomics datasets. The precomputed annotations on proteins allows easy filtering of results. As an example, when searching for a secreted protein from a cell line we identified over 2000 proteins from conditioned media. The project team only knew the approximate size of the protein and the related biology. From ProteinCenter we filtered the proteins for those containing a signal peptide, GO annotation as extracellular, and number of amino acids. From >2000 proteins the list was narrowed to 3 proteins in just a few clicks and one of those had the biology the team was looking for. Before ProteinCenter, our standard analysis of 10000 proteins per sample was difficult and time consuming to extract biological interpretation from. ProteinCenter facilitates the interface of where proteomics delivers on biological analysis.”

Dr. Mark Daniels, Clinical Trial Manager 

Ontario Cancer Institute (OCI), Toronto Medical Discovery Tower, Canada

“My lab is using ProteinCenter for approximately one year now and it has turned out to be extremely useful for us. Although, our lab has considerable bioinformatics expertise there are several key features of ProteinCenter which made this tool extremely useful to us. Among the many features of ProteinCenter, especially the following tools are frequently used by us:

1) The efficient cross-comparison of different datasets
2) The calculation of enriched GO categories
3) The detailed annotation available for every proteins through the protein card function
4) The easy and comprehensive mining functions 

All in all, ProteinCenter is a one-stop-shop for detailed bioinformatics mining of extensive proteomics data in a highly efficient and streamlined manner. I can highly recommend this tool to both the experienced proteomics laboratory and the first timer trying to make sense of their first proteomics experiments.” 

Dr. Thomas Kislinger, Division of Cancer Genomics and Proteomics 

Cambridge Centre for Proteomics, UK

"ProteinCenter optimized my workflow from analyzing 4 samples per week to 20 samples per week."

Dr. J. S. Rees, Cambridge Centre for Proteomics, UK

Statens Serum Institut, Denmark

"ProteinCenter helped my to quickly verify a sample preparation method via its comprehensive biological annotations."

K. Poulsen, Statens Serum Institut, Denmark

University of Southern Denmark

"ProteinCenter enables us to gain biological insights from large-scale proteomics experiments within minutes.
We now spend more time on biological research and less on 'protein book-keeping'."

Professor Ole Nørregard Jensen, Protein Research Group, University of Southern Denmark

Nijmegen Proteomics Facility, The Netherlands

"With ProteinCenter's Gene Ontology functionality, I got biological insights into my experiments."

W. Pluk, Nijmegen Proteomics Facility, The Netherlands

ETH Zurich

"ProteinCenter enabled us to jump three months ahead of plan on our project."

Dr. Christoph Rösli, Department of Chemistry and Applied Biosciences, ETH Zurich

University of Kansas, USA

"ProteinCenter has definitely been useful and is a major time saver."

Rick T. Dobrowsky, Ph.D. Professor, Department of Pharmacology and Toxicology, University of Kansas, USA

Odense University Hospital, Denmark

"Using ProteinCenter I retrieved detailed information on my long list of validated proteins in just a few minutes.
It's fast, user-friendly and displays information in easy-to-read tables."

Tine E. Thingholm, Ph.D., Klinik for Molekylær Endokrinologisk Behandling (KMEB), Odense Universitets Hospital (OUH), Danmark