
Machine for the crystal structure analysis software suite "CCP4" (April 2025 version)
A structure that assumes the use of the comprehensive program suite "CCP4 (Collaborative Computational Project No. 4)" for crystal structure analysis. […see next]
A structure that assumes the use of the comprehensive program suite "CCP4 (Collaborative Computational Project No. 4)" for crystal structure analysis. […see next]
A client engaged in research into energy processes contacted us to inquire about a workstation for performing energy calculations on structures with around 100 atoms using GAMESS (US). […see next]
A customer involved in the development of industrial products contacted us for a workstation to use NVIDIA Omniverse. The budget was within 700 million yen, and we were looking for the following: […see next]
Veterinary research customers have provided us with worksheets for analyzing RNA-seq, Whole-Genome Bisulfite Sequencing, and ChIP-seq data. […see next]
A customer involved in the research and development of chemical products consulted us about a workstation for CAE with a budget of around 200 million yen. […see next]
A customer engaged in ecological research asked us for a PC to perform metabolome analysis based on shotgun sequencing. […see next]
A customer involved in the design of precision equipment consulted us on a PC for conducting charged particle trajectory analysis. The PC can handle Dassault CST Studio Suite and supports Nvidia […see next]
A customer engaged in research in electrical and electronic engineering consulted us about introducing a new PC. The customer wanted a configuration suitable for two purposes within a budget of 100 million yen. [2] Commercial optimization (mixed […see next]
A customer involved in the research and development of electrical components contacted us for a PC to perform electromagnetic field analysis and thermal fluid analysis. The budget was about 100 to 150 million yen, and the customer was looking for a PC that would use Femtet. […see next]
A customer involved in cardiovascular research consulted us about introducing a machine for medical image deep learning with a budget of less than 300 million yen. The machine will be used to record electrocardiogram and phonocardiogram waveforms, […see next]
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