The Biomedical Data Analysis Platform

"Generating complex CyTOF measurements for RU’s within Pfizer requires a good balance between productivity and innovation, especially with biomedical data analysis. 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. I can do much more bioinformatics now than ever before"

Chad Stevens - CyTOF Senior Scientist, Pfizer

"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. In addition, Tercen allows for easy quality checks in between each data-step and can integrate multiple datasets."

Ralph Mass - PhD student at the Radboud umc

"I did not have experience in handling large data sets, and it was overwhelming at first. 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."

Calum Bane - Master Student at University of Glasgow

"During our ongoing clinical trial, Tercen helped us analyse and visualize the clinical data, multi-marker and multi-site. Data analytics using Tercen provided us with relevant insights into the behaviour of our drug in a very efficient manner."

Timothy Perera - PhD, CSO at Octimet Oncology

"We quickly realized that Tercen could help us valorize data from bacteria growth study. By integrating multivariate datasets, Tercen allowed us to rapidly produce conclusions and plan the next experiments quickly and accurately."

Bernhard Paetzold - PhD, Co-Founder of S-Biomedic

"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. Tercen allows us to deepen and expand our services and scientific output."

Javier Alfaro - PhD, group leader in computational Biology, International centre for Cancer Vaccines Science

"We had no multivariate data analytics platform available and our flow cytometry data was not fully used. Tercen allowed us to integrate the readouts and produce publications."

Berend Hooibrink - Head of core Facility at the AMC University of Amsterdam

"Generating complex CyTOF measurements for RU’s within Pfizer requires a good balance between productivity and innovation, especially with biomedical data analysis. 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. I can do much more bioinformatics now than ever before"

Chad Stevens - CyTOF Senior Scientist, Pfizer

"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. In addition, Tercen allows for easy quality checks in between each data-step and can integrate multiple datasets."

Ralph Mass - PhD student at the Radboud umc

"I did not have experience in handling large data sets, and it was overwhelming at first. 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."

Calum Bane - Master Student at University of Glasgow

"During our ongoing clinical trial, Tercen helped us analyse and visualize the clinical data, multi-marker and multi-site. Data analytics using Tercen provided us with relevant insights into the behaviour of our drug in a very efficient manner."

Timothy Perera - PhD, CSO at Octimet Oncology

"We quickly realized that Tercen could help us valorize data from bacteria growth study. By integrating multivariate datasets, Tercen allowed us to rapidly produce conclusions and plan the next experiments quickly and accurately."

Bernhard Paetzold - PhD, Co-Founder of S-Biomedic

"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. Tercen allows us to deepen and expand our services and scientific output."

Javier Alfaro - PhD, group leader in computational Biology, International centre for Cancer Vaccines Science

"We had no multivariate data analytics platform available and our flow cytometry data was not fully used. Tercen allowed us to integrate the readouts and produce publications."

Berend Hooibrink - Head of core Facility at the AMC University of Amsterdam

"Generating complex CyTOF measurements for RU’s within Pfizer requires a good balance between productivity and innovation, especially with biomedical data analysis. 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. I can do much more bioinformatics now than ever before"

Chad Stevens - CyTOF Senior Scientist, Pfizer

The Biomedical Data
Analysis Platform.

Explore scientific data without learning how to code.

Focus on

High Dimensional
Flow Cytometry

Why Choose Tercen?

A Fresh Approach to Data Analysis...

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Visual Analysis Design

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Testimonials

"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. In addition, Tercen allows for easy quality checks in between each data-step and can integrate multiple datasets."

"I did not have experience in handling large data sets, and it was overwhelming at first. 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."

"During our ongoing clinical trial, Tercen helped us analyse and visualize the clinical data, multi-marker and multi-site. Data analytics using Tercen provided us with relevant insights into the behaviour of our drug in a very efficient manner."

"We quickly realized that Tercen could help us valorize data from bacteria growth study. By integrating multivariate datasets, Tercen allowed us to rapidly produce conclusions and plan the next experiments quickly and accurately."

"We had no multivariate data analytics platform available and our flow cytometry data was not fully used. Tercen allowed us to integrate the readouts and produce publications."

"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. In addition, Tercen allows for easy quality checks in between each data-step and can integrate multiple datasets."

"I did not have experience in handling large data sets, and it was overwhelming at first. 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."

"During our ongoing clinical trial, Tercen helped us analyse and visualize the clinical data, multi-marker and multi-site. Data analytics using Tercen provided us with relevant insights into the behaviour of our drug in a very efficient manner."

"We quickly realized that Tercen could help us valorize data from bacteria growth study. By integrating multivariate datasets, Tercen allowed us to rapidly produce conclusions and plan the next experiments quickly and accurately."

"We had no multivariate data analytics platform available and our flow cytometry data was not fully used. Tercen allowed us to integrate the readouts and produce publications."

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