About the Computational Biology & Bioinformatics Session
The study of biological data using information techniques is known as bioinformatics. Bioinformatics is a branch of computer science that combines computer programming, mathematics algorithms, and statistics with concepts from biology to tackle biological problems. It organises data in an electronic format and makes it easier to detect patterns that indicate connections between cellular components. These data mining techniques are used to generate hypotheses and model explanations for observable occurrences. The practise of formalising these models in a computable framework in order to use them for prediction and to assess the compatibility of the hypotheses with past observations is known as computational biology.
- Primer designing
- Sequence similarity
- Protein modelling
- Genome analysis
- Proteomics
- Transcriptomics
- Phytochemistry
Topics Covered in Computational Biology & Bioinformatics
Sequence alignment and assembly
Genome annotation pipelines
Phylogenetic and evolutionary analysis
Structural bioinformatics and modelling
Statistical analysis of biological data
Databases, tools and reproducibility
Featured Speakers — Computational Biology & Bioinformatics 2027
Speaker lineup for this track will be announced soon.
Browse all speakers →Recent Research Presented at Computational Biology & Bioinformatics Sessions
Selected abstracts from this track will be published here.
Related Scientific Sessions at GPB 2027
Why Attend the Computational Biology & Bioinformatics Conference 2027
Earn CPD Credit
Sessions are CPD-accredited — earn 1 CPD credit for each hour of attendance.
Present Your Research
Oral and poster slots for original Computational Biology & Bioinformatics work, reviewed by the scientific committee.
Network Globally
Meet plant scientists, breeders, biotechnologists and crop researchers from around the world across three days.
Featured in the Abstract Book
Accepted abstracts are collected in the conference abstract book, published for every edition.
Learn from Keynotes
Plenary lectures from leading voices shaping Computational Biology & Bioinformatics research and practice.
Hybrid Flexibility
Attend in person in Singapore or join virtually — same programme, same certificate.
Join GPB 2027 for the Computational Biology & Bioinformatics track
Oral and poster slots for your work — in person in Singapore or online. Not presenting? Attend as a delegate to learn from the field.
Computational Biology & Bioinformatics Conference 2027 — FAQs
What is the Computational Biology & Bioinformatics track at GPB 2027?
The Computational Biology & Bioinformatics track is a dedicated stream within GPB 2027 covering the latest research, clinical innovation, and best practice in Computational Biology & Bioinformatics. It brings together researchers, educators, and practitioners for oral presentations, posters, and discussion.
Who should attend the Computational Biology & Bioinformatics sessions?
Plant scientists, breeders, biotechnologists, agronomists, doctoral students, and research leaders with an interest in Computational Biology & Bioinformatics are all welcome — whether presenting or attending.
Can I present my research in the Computational Biology & Bioinformatics track?
Yes. Submit an abstract for oral or poster presentation. All submissions are peer-reviewed by the scientific committee; accepted abstracts appear in the indexed proceedings.
Is virtual attendance available for Computational Biology & Bioinformatics sessions?
Yes. GPB 2027 is a hybrid conference — attend the Computational Biology & Bioinformatics track in person in Singapore or join live online, with on-demand access afterward.
Join the GPB 2027 delegation
Singapore · March 18–20, 2027· Hybrid · in-person & virtual
Attend without presenting.