{"data":{"testimonials":{"edges":[{"node":{"id":"Testimonial_5ff86aad5eec42001c91f1c3","author":"Ralph Mass","jobTitle":"PhD student at the Radboud umc","quote":"Tercen enables me to analyses high-dimensional flow cytometry data with clustering algorithms that would otherwise require me to learn and use an elaborate R pipeline. 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Tercen offered the flexibility I needed to study the changes in phosphorylation patterns upon gene knockdown without learning how to code. It became extremely easy to perform data analysis and present results.","logo":{"localFile":{"publicURL":"/static/791372955088ebcd83fb8d8bdc886d16/Third_Party_Glasgow_1150365256_b43a60a9b1.jpg","childImageSharp":{"gatsbyImageData":{"layout":"constrained","backgroundColor":"#f8f8f8","images":{"fallback":{"src":"/static/791372955088ebcd83fb8d8bdc886d16/5aa30/Third_Party_Glasgow_1150365256_b43a60a9b1.jpg","srcSet":"/static/791372955088ebcd83fb8d8bdc886d16/f3ce3/Third_Party_Glasgow_1150365256_b43a60a9b1.jpg 150w,\n/static/791372955088ebcd83fb8d8bdc886d16/b58c8/Third_Party_Glasgow_1150365256_b43a60a9b1.jpg 300w,\n/static/791372955088ebcd83fb8d8bdc886d16/5aa30/Third_Party_Glasgow_1150365256_b43a60a9b1.jpg 600w","sizes":"(min-width: 600px) 600px, 100vw"},"sources":[{"srcSet":"/static/791372955088ebcd83fb8d8bdc886d16/27d17/Third_Party_Glasgow_1150365256_b43a60a9b1.webp 150w,\n/static/791372955088ebcd83fb8d8bdc886d16/56dc1/Third_Party_Glasgow_1150365256_b43a60a9b1.webp 300w,\n/static/791372955088ebcd83fb8d8bdc886d16/29f05/Third_Party_Glasgow_1150365256_b43a60a9b1.webp 600w","type":"image/webp","sizes":"(min-width: 600px) 600px, 100vw"}]},"width":600,"height":424}}}}}},{"node":{"id":"Testimonial_5ff86add5eec42001c91f1c7","author":"Timothy Perera","jobTitle":"PhD, CSO at Octimet Oncology ","quote":"During our ongoing clinical trial, Tercen helped us analyse and visualize the clinical data, multi-marker and multi-site. 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By integrating multivariate datasets, Tercen allowed us to rapidly produce conclusions and plan the next experiments quickly and accurately.","logo":{"localFile":{"publicURL":"/static/b098338d722d559eb96a824e218376dc/Third_Party_Logos_S_Biomedic_b0726d9345_8063724de0.jpg","childImageSharp":{"gatsbyImageData":{"layout":"constrained","backgroundColor":"#f8f8f8","images":{"fallback":{"src":"/static/b098338d722d559eb96a824e218376dc/ca8e7/Third_Party_Logos_S_Biomedic_b0726d9345_8063724de0.jpg","srcSet":"/static/b098338d722d559eb96a824e218376dc/d2031/Third_Party_Logos_S_Biomedic_b0726d9345_8063724de0.jpg 100w,\n/static/b098338d722d559eb96a824e218376dc/f7bf9/Third_Party_Logos_S_Biomedic_b0726d9345_8063724de0.jpg 200w,\n/static/b098338d722d559eb96a824e218376dc/ca8e7/Third_Party_Logos_S_Biomedic_b0726d9345_8063724de0.jpg 400w","sizes":"(min-width: 400px) 400px, 100vw"},"sources":[{"srcSet":"/static/b098338d722d559eb96a824e218376dc/4a0b8/Third_Party_Logos_S_Biomedic_b0726d9345_8063724de0.webp 100w,\n/static/b098338d722d559eb96a824e218376dc/d6d3e/Third_Party_Logos_S_Biomedic_b0726d9345_8063724de0.webp 200w,\n/static/b098338d722d559eb96a824e218376dc/ba035/Third_Party_Logos_S_Biomedic_b0726d9345_8063724de0.webp 400w","type":"image/webp","sizes":"(min-width: 400px) 400px, 100vw"}]},"width":600,"height":424.5}}}}}},{"node":{"id":"Testimonial_5ff86b0c5eec42001c91f1cb","author":"Javier Alfaro","jobTitle":"PhD, group leader in computational Biology,  International centre for Cancer Vaccines Science ","quote":"Supporting wet-lab scientists, while keeping man-power to develop our own bioinformatics heavy and independent research, is a challenge we face. We had no platform allowing us to supervise and empower wet-lab scientists to perform biomedical data analysis themselves. 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I found Tercen to be really useful in enabling me to flexibly interact with my data and explore the novel aspects of my CyTOF measurements. In addition, Tercen’s ability to easily add meta-annotation and algorithms allows me to analyse biomedical data without having to have a deep knowledge of R. Using this one tool, instead of multiple individual packages, saves me many days of work. 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