Hybrid Conferencee

International Conference on Genetic Data Engineering and Computational Biotechnology (ICGDECB - 26)

24th - 25th November 2026 | Brussels, Belgium

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Brussels. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Brussels event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Brussels conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Brussels, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Brussels."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICGDECB aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Biotechnology, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Genomic data analysis techniques
02
Computational methods in genetic research
03
Data integration in biotechnology
04
Bioinformatics tools for genetic engineering
05
Genetic data privacy and ethics
06
Systems biology approaches to genetics
07
Machine learning in genetic prediction
08
Genetic variation and disease correlation
09
CRISPR technology and genetic editing
10
Population genetics and bioinformatics
11
Genetic data visualization methods
12
Applications of big data in genetics
13
Genetic engineering in crop improvement
14
Bioinformatics in personalized therapies
15
Genomic data in evolutionary studies
16
Gene expression analysis techniques
17
Genetic data repositories and databases
18
Ethical implications of genetic engineering
19
Future trends in genetic data engineering
20
Collaborative platforms for genetic research