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9th International Symposium on Bioinformatics (InSyB 2025) : Call for Participation

Dear Colleague,

The 9th International Symposium on Bioinformatics 2025 (InSyB2025) is to be hosted at the University of Doha for Science and Technology (UDST), Qatar, from 25-26 November 2025. InSyB2025 aims to strengthen local and regional capacity in bioinformatics through a short thematic symposium, community engagement, and collaborative exchange. The theme for InSyB2025 is “Ecosystem-Driven Bioinformatics for Transforming Healthcare.”

Date & Venue:  25 – 26 November 2025 at UDST, Doha.

Invited Keynote Speaker:

  1. Dr. Robert Hoehndorf, Associate Professor, Computer Science, King Abdullah University of Science and Technology, Kingdom of Saudi Arabia
  2. Dr. Aziz Khan, Assistant Professor, Computational Biology Group Leader of Computational Biology & Cancer Regulatory Genomics Lab, Mohamed bin Zayed University of Artificial Intelligence, United Arab Emirates.
  3. Dr. Vladimir Brusic, Vice President, Applied Research and Graduate Studies, Applied Research & Graduate Studies Division, University of Doha for Science and Technology, Qatar.
  4. Dr. Dinesh Velayutham, Senior Bioinformatics Specialist, Qatar Precision Health Institute (QPHI), Qatar Foundation.

Registration Fee: FREE REGISTRATION

1st ApBioNet Student Council Symposium

The Asia-Pacific Bioinformatics Student Council Symposium (APBSCS-2025) is a student-led initiative held in conjunction with the APBioNet INCOB Conference. This vibrant, in-person event is dedicated to students and early-career researchers in bioinformatics and computational biology.

This inaugural event, held alongside the APBioNet-INCOB Conference, is more than just a meeting—it’s a bold step toward empowering early-career scientists, building regional connections, and spotlighting student-led innovation in bioinformatics and computational biology.

Built on the belief that students grow best when they learn from one another and from mentors who understand their journey, APBSCS offers a platform where ideas are exchanged, stories are shared, and collaborations are born.

Congratulations on the formation of the new first APBioNET Student Council.

We are pleased to announce the founding members and office bearers of the first-ever APBioNET Student Council. They will serve for the 2025–2027 term:

Office Bearers:
President: Somenath Dutta, Pusan National University, South Korea
Vice President: Masturina Md Mansor, Universiti Putra Malaysia, Malaysia
Secretary: Thomas Masding, Soka University, Japan
Assistant Secretary: Somil Sharma, University of Delhi South Campus, India
Treasurer: Loveleen Kaur, Hans Raj Mahila Maha Vidyalaya, Jalandhar, India

General Members:
Ridhima Garg, Hans Raj Mahila Maha Vidyalaya, Jalandhar, India
Jatin Joshi, University of Delhi South Campus, India
Siddhant Bhardwaj, Jawaharlal Nehru University, India
Priyanka Sharma, Bennett University, Greater Noida

This marks a significant milestone for APBioNET as we formally establish a platform for student engagement, leadership, and collaboration across the Asia-Pacific region.

Congratulations to all the elected members! We wish you a successful term and look forward to seeing the Student Council grow into an empowering force for students in bioinformatics and related fields.

Congratulations to Prof. Kenta Nakai, winner of APBioNET Research Innovation Award 2024

We are delighted to announce that Professor Kenta Nakai has been honored with the APBioNET Research Innovation Award (RIA), recognizing his outstanding contributions to the fields of bioinformatics and computational biology.

Professor Nakai, affiliated with The University of Tokyo’s Institute of Medical Science, has significantly advanced our understanding of protein localization, gene regulation, and spatial transcriptomics. His pioneering work includes the development of the PSORT program, a tool for predicting protein sorting signals and subcellular localization, which has become a cornerstone in bioinformatics research. (Link)

In his recent research, Professor Nakai introduced the Spatial Transcriptomics Analysis via Image-Aided Graph Contrastive Learning (STAIG) framework. This innovative deep-learning approach integrates gene expression data with histological images, enabling precise identification of spatial domains within tissues. STAIG has demonstrated superior performance in delineating tumor boundaries and understanding complex tissue architectures, offering valuable insights into cancer research and developmental biology.

The APBioNET RIA celebrates Professor Nakai’s dedication to advancing bioinformatics, highlighting his role in developing computational tools that bridge the gap between biological data and practical applications. His work exemplifies the spirit of innovation that the RIA aims to recognize within the Asia-Pacific bioinformatics community.