“No doubt, BioTuring is awesome! It is essential in the toolkit for “wet” labs who are thrilled to explore the single cell transcriptome profiling!”
Di Zhao,
Assistant Professor. UT MD Anderson Cancer Center
“BioTuring Lens Single-Cell is essential for visualizing our CosMx data, where understanding data in relation to neighboring cells and corresponding histopathology is critical. Its easy-to-use interface makes it indispensable for researchers, enabling deeper insights into complex cellular interactions”
Daisuke Komura,
Assistant Professor, The University of Tokyo
“What an excellent tool BBrowserX is to perform single-cell transcriptome data analysis including single cell TCR repertoire analysis. It is fast and intuitive operation, allowing even beginners easily to start analyzing. Furthermore, BBrowserX technical support team has been excellent and helpful in responding to our questions. BBrowserX has become an indispensable tool in my lab.”
Motoko Kimura,
Professor, Chiba University
“We are currently using Alpha SC on a 12M single-cell dataset as our main analysis toolbox, and we are happy with the performance so far. It vastly reduced our analysis time. Most steps can now be completed in few minutes instead of hours. Compared to other GPU-based solutions, a crucial benefit for us in using Alpha SC is the possibility of easily working in ‘backed’ mode, thus processing million-scale datasets using a reasonable amount of system memory. The highly efficient use of GPU memory is also a huge advantage since we can run the workflow without the need for large-memory expensive GPUs”
Edoardo Giacopuzzi,
Senior Bioinformatics Technician, Genomics Research Centre, Human Technopole
“We found the BioTuring Lens platform to be an ideal software solution In our analysis of spatial transcriptomic data. The platform offers powerful tools that enable us to draw novel conclusions. without requiring any previous knowledge of "R". The user interface is intuitive and easy to navigate, conserving valuable time and resources.”
Jonathan Yap PhD.,
Postdoctoral Fellow University of Hawaii, John A. Burns School of Medicine
“I love BioTuring. I learned Single Cell analysis using R Studio originally, and the BBrowser makes it a lot easier to gain a comprehensive understanding of what the data is showing. It is also a lot easier to make beautiful figures.”
Ryan Lingerak,
PhD Candidate CWRU, Bingcheng Wang Lab