Sequencing Data Analysis/Machine Learning Workstation (General-Purpose Configuration)
A customer who viewed Case No. PC-25000268 inquired about a workstation that can handle both nanopore sequencing data analysis and machine learning. […see next]
A customer who viewed Case No. PC-25000268 inquired about a workstation that can handle both nanopore sequencing data analysis and machine learning. […see next]
A customer who viewed Case No. PC-25000268 inquired about a workstation that can handle both nanopore sequencing data analysis and machine learning. […see next]
The customer contacted us regarding a workstation for analysis and processing that reconstructs three-dimensional structures from a large number of images acquired by a cryo-electron microscope. […see next]
A customer involved in computational chemistry and molecular simulation research introduced a PC for calculations intended for reaction mechanism analysis, protein docking, and in silico (computational chemistry) screening. […see next]
We received a consultation regarding a workstation equipped with a GPU for analysis using MIPAR's Spotlight and Deep Learning. The budget was approximately 100 million yen. […see next]
A customer asked us for advice on selecting a PC configuration for using HSPiP. We would like a quote for the machine only, excluding software licenses and installation. […see next]
A customer asked us for advice on selecting a PC configuration for using HSPiP. We would like a quote for the machine only, excluding software licenses and installation. […see next]
We were asked to purchase a desktop PC that meets the requirements for the Oxford Nanopore MinION Mk1D. The OS is Ubuntu 24.04. […see next]
We were consulted about the introduction of a high-performance workstation for robot machine learning. The desired specifications were Ubuntu 22.04 OS, Intel Co […see next]
A customer involved in bioinformatics contacted us for a workstation for NGS analysis for individual researchers. The OS is Ubuntu, and the software to be used is […see next]
Copyright © 2020 | Tegara Corporation