2026 Topics

FireDucks Enterprise Now Available

2026.04.26

FireDucks is a pandas-compatible high-performance dataframe library developed by NEC. Thanks to the generosity of NEC, the Enterprise edition of FireDucks — enhanced with features tailored for bioinformatics — is available free of charge on the NIG Supercomputer System. Please read and agree to the End User License Agreement before use.

For usage instructions, please refer to the 🔗 FireDucks Enterprise page.

*Performance figures are for the CPU edition of FireDucks Enterprise. Actual performance varies depending on your program and environment.*

FireDucks accelerates data processing through runtime optimization and parallel execution. Because it provides a pandas-compatible API, you can achieve speed improvements without changing your code — simply switch the library. In the bioinformatics domain, FireDucks can accelerate operations such as filtering VCF files.

Introducing Amelieff Inc.'s BI Practical Lab — a resource for making the most of the NIG Supercomputer

2026.04.26

As the volume of data in life science research continues to grow explosively, the use of supercomputers as large-scale computational resources has become indispensable. For those of you performing bioinformatics analyses on the supercomputer, we would like to introduce a free learning site that can help you develop your analytical skills and troubleshoot day-to-day issues.

For more details, please refer to the 🔗 BI Practical Lab introduction page.

**The essence of 100+ "Bioinformatics Study Sessions" — now available as videos** Since its founding in 2009, Amelieff Inc. has consistently confronted the challenge of a shortage of bioinformatics talent, continuously hosting free study sessions and supporting the development of a wide range of people from beginners to working professionals. Through both its analysis support business and its bioinformatics outreach activities, the company has consistently helped researchers overcome the stress of infrastructure setup and operational barriers, working toward a state of "independence" in which researchers can freely conduct their own analyses.