2026 13th International Conference on Bioinformatics Research and Applications (ICBRA 2026) – Event Attendee & Buyer Profile Analysis
Event date: 14 September 2026 – 16 September 2026
Location: Belfast, United Kingdom
Event status: Upcoming
Research date: 29 June 2026
Event Overview
| Event Name |
2026 13th International Conference on Bioinformatics Research and Applications (ICBRA 2026) |
| Event Date |
14 September 2026 – 16 September 2026 |
| Event Status |
Upcoming |
| Venue |
Venue not publicly confirmed in the reviewed source material. |
| City |
Belfast |
| State / Region |
Northern Ireland |
| Country |
United Kingdom |
| Organizer |
Organizer not clearly named on the reviewed homepage; conference secretariat contact uses the CBEES domain (Confirmed contact evidence, organizer naming not fully confirmed). |
| Official Event Website |
icbra.org |
| Event Type |
International academic and industry research conference |
| Primary Category |
Science & Research |
| Secondary Applicable Categories |
IT & Technology; Medical & Pharma |
| Audience Reach |
Global |
| Estimated Attendance / Expected Footfall |
Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability |
Low for numeric volume; high for dates, theme, and publication model. The official website states the series has attracted “thousands of participants” historically, but no current-edition attendance count is listed. |
| Main Purpose of Event |
To convene academics and industrial researchers in bioinformatics for paper presentation, publication, peer review, knowledge exchange, and collaboration. |
About the Event
ICBRA 2026 is the 13th edition of an international conference focused on bioinformatics research and applications. According to the official event website, the conference will take place on 14–16 September 2026 and is designed to keep pace with current developments and innovation in advanced bioinformatics while giving participants a platform to share research, methods, and practical expertise.
From a commercial and lead-generation perspective, this is primarily a research-driven conference rather than a classic trade show. The highest-value attendee groups are likely to include university principal investigators, computational biology researchers, data science leaders, pharmaceutical and biotech R&D teams, research software stakeholders, and scientific publishing or academic partnership teams. It is relevant for B2B outreach where the offering supports scientific computing, omics analysis, AI/ML for biology, research infrastructure, data platforms, or specialized laboratory and translational research workflows.
1. Who Attends: Buyers / Attendees
| Buyer / Attendee Segment |
Typical Organizations |
Buying Role or Influence |
Relevance to Exhibitors / Suppliers |
| Academic researchers and principal investigators |
Universities, medical schools, research institutes |
Influence tool selection, grants, collaboration purchases, software adoption |
High relevance for bioinformatics software, data platforms, cloud compute, and research services |
| Industrial researchers |
Biotech, pharma, diagnostics, life science software firms |
Evaluate technologies, algorithms, workflows, and partnerships |
Strong relevance for applied R&D tools, data analysis pipelines, and outsourced services |
| Computational biology and bioinformatics teams |
Research labs, translational institutes, pharmaceutical R&D groups |
Direct users and technical evaluators |
Core audience for pipeline automation, sequence analysis, and data management solutions |
| Data science and AI/ML researchers |
AI-enabled life sciences teams, universities, software companies |
Assess models, infrastructure, training data, and compute environments |
Relevant for model platforms, GPUs/cloud, annotation tools, and MLOps for biology |
| Research infrastructure and IT leaders |
Universities, research centers, hospitals |
Budget influence for storage, security, compute, and integration |
Relevant for scientific computing, cybersecurity, database hosting, and interoperability vendors |
| Scientific publishing and conference ecosystem stakeholders |
Publishers, indexing partners, scholarly communications groups |
Partnership and dissemination influence |
Relevant for publishing, abstract management, peer review, and academic event services |
| Graduate researchers and early-career scientists |
Universities and research programs |
End-user influence; future account development |
Useful for long-term pipeline building, trials, and academic adoption programs |
2. Event Location and Attendee Geographic Origin
| Geographic Area |
Likely Attendee Origin |
Buyer Concentration |
Notes |
| Belfast |
Local universities, hospitals, research groups, and technology stakeholders |
Moderate |
Host-city participation likely strongest among local academic and biomedical communities |
| Northern Ireland |
Regional academic and life science networks |
Moderate |
Likely draw from regional research and health innovation institutions |
| Rest of the United Kingdom |
Universities, genomics centers, biotech firms, NHS-linked research groups |
High |
Likely major source of delegates given the event location and English-language format |
| Ireland |
Cross-border academic and biotech participation |
Moderate to High |
Geographic proximity supports attendance from Dublin and other Irish research hubs |
| Europe |
European universities, research institutes, and life science companies |
High |
International paper-based conferences in this domain typically attract European submissions and presenters |
| Asia-Pacific, North America, and other global markets |
International authors, speakers, and industrial researchers |
Moderate |
Official website states the series attracts participants from all over the world; current-year country breakdown not published |
3. Audience Reach
| Reach Level |
Assessment |
Explanation |
| Global |
Primary classification |
The official site explicitly welcomes experts and scholars from all over the world and describes the conference series as attracting thousands of participants globally over its history. |
| European / UK regional concentration |
Secondary reach pattern |
Although globally positioned, the in-person venue in Belfast likely concentrates attendees from the UK, Ireland, and wider Europe. |
4. Sample Buyer Companies and Websites
| Buyer Company / Organization |
Buyer Type |
Why It Is Relevant |
Website |
Best Job Titles to Target |
Evidence Level |
| Attendee / buyer organizations not publicly disclosed in reviewed source material |
N/A |
No official current-year attendee list, exhibitor list, sponsor directory, or named speaker-organization roster was visible in the reviewed source text. This limits verified company-level buyer profiling for the current edition. |
N/A |
N/A |
Confirmed limitation in reviewed source set |
This event appears better suited for role-based and institution-type targeting than for current-year confirmed attendee list building, unless additional official pages later publish speaker organizations, committee affiliations, accepted paper authors, or partner institutions.
5. Job Profiles, Industries and Event Type
| Priority |
Job Title / Function |
Department |
Seniority Level |
Why This Role Matters |
| 1 |
Principal Investigator |
Research |
Director / Executive |
Leads grants, collaborations, and research tool selection |
| 2 |
Director of Bioinformatics |
R&D / Bioinformatics |
Director |
Owns platform decisions, analysis standards, and team workflows |
| 3 |
Head of Computational Biology |
R&D |
Director / VP |
High-value technical and strategic buyer for analytics infrastructure |
| 4 |
Bioinformatics Scientist |
Research / Bioinformatics |
Manager / Individual Contributor |
Direct product user and evaluator |
| 5 |
Research Scientist |
Research |
Manager / Individual Contributor |
Influences adoption in academic and industrial labs |
| 6 |
Director of Genomics / Omics |
R&D / Scientific Programs |
Director |
Relevant for sequence analysis, storage, and translational platforms |
| 7 |
Data Science Director |
Data Science / AI |
Director |
Relevant when solutions overlap AI, ML, data platforms, and analytics engineering |
| 8 |
CTO / Chief Scientific Officer |
Executive / R&D |
Executive |
Strategic buyer for enterprise-level science platforms and partnerships |
| 9 |
IT Director / Research Computing Director |
IT / Infrastructure |
Director |
Key for cloud, storage, cybersecurity, and deployment integrations |
| 10 |
Research Program Manager |
Programs / Operations |
Manager |
Useful for partnership coordination, pilots, and institutional adoption pathways |
| Priority |
Apollo Industry |
Why It Fits the Event |
Best Buyer Use Case |
| 1 |
Biotechnology |
Core fit for bioinformatics applications and translational research |
Genomics, drug discovery, assay analytics |
| 2 |
Pharmaceuticals |
Industrial research teams use computational biology heavily |
R&D platforms, clinical bioinformatics, discovery workflows |
| 3 |
Research |
Direct match for research institutes and scientific centers |
Institutional research tools and collaboration platforms |
| 4 |
Higher Education |
Academic attendance is central to the event model |
University labs, faculty adoption, student/research infrastructure |
| 5 |
Hospital & Health Care |
Relevant for clinical genomics, translational medicine, and biomedical data |
Clinical bioinformatics and patient-data-adjacent analytics |
| 6 |
Information Technology & Services |
Supports research computing and platform deployments |
Data engineering, cloud deployment, bioinformatics SaaS |
| 7 |
Computer Software |
Many bioinformatics solutions are software-led |
Scientific software, workflow automation, data visualization |
| 8 |
Medical Devices |
Relevant where diagnostics and data analysis intersect |
Sequencing-adjacent informatics and diagnostic analytics |
| 9 |
Nanotechnology |
Specialized scientific organizations may overlap in computational life sciences |
Advanced research programs and analytical modeling |
| 10 |
Government Administration |
Relevant only where public research agencies or funding bodies participate |
National research institutes, grant-backed programs |
6. Estimated Attendance
| Metric |
Figure |
Status |
Source / Basis |
Notes |
| Estimated total footfall |
Attendance figure not publicly confirmed by the organizer. |
Not publicly confirmed |
Official website review |
No attendee count shown in reviewed source material |
| Exhibitor count |
Not publicly confirmed |
Not publicly confirmed |
Official website review |
This appears to be a conference format rather than an exhibitor-heavy expo |
| Buyer count |
Not publicly confirmed |
Not publicly confirmed |
Official website review |
Best evaluated through role-based segments, not explicit buyer registration data |
| Speaker count |
Numerous renowned experts have confirmed participation as speakers |
Confirmed, numeric total unavailable |
Official news item dated 21 January 2025 |
Official count and affiliations not listed in the reviewed text |
| Sponsor count |
Not publicly confirmed |
Not publicly confirmed |
Official website review |
Homepage displays sponsor/support placeholders but no named entities in reviewed source text |
| Historical attendance |
“Thousands of participants” across the conference series |
Historical / prior-series evidence |
Official website series description |
Not a confirmed attendance figure for the 2026 edition |
7. Key Focus Areas and Buyer Engagement
| Focus Area |
Typical Buyer Need |
Buyer Engagement Opportunity |
Relevant Supplier Offering |
| Bioinformatics research |
Advanced analysis methods, reproducibility, and publication-ready workflows |
Demonstrate research acceleration and improved analytical quality |
Bioinformatics software, algorithmic platforms, workflow engines |
| Data management |
Secure storage, retrieval, annotation, and data-sharing at scale |
Position around data governance and collaboration efficiency |
Data platforms, LIMS integrations, metadata tools, secure repositories |
| AI and computational biology |
Predictive modeling, multi-omics integration, high-throughput analysis |
Highlight performance, accuracy, and explainability |
AI/ML tools, model training environments, scientific analytics stacks |
| Publication and peer review |
Quality control, peer review support, dissemination |
Offer submission, review, and editorial workflow solutions |
Conference management systems, peer review tools, editorial services |
| Scientific collaboration |
Cross-institution partnership, shared datasets, international research visibility |
Promote collaboration-enabling products and strategic partnerships |
Collaboration platforms, research networks, consortium services |
| Research computing infrastructure |
Compute scale, cloud efficiency, workflow reliability |
Frame value around speed, scale, security, and cost optimization |
Cloud, HPC, storage, cybersecurity, containerized environments |
Lead Quality Assessment
| Factor |
Assessment |
Explanation |
| Buyer relevance |
High |
Strong relevance for scientific software, analytics, research computing, and bioinformatics services |
| Decision-maker availability |
Medium |
Attendees likely include technical decision-makers and research leaders, but pure procurement roles may be limited |
| Data collection potential |
Medium |
Useful for role-based prospecting, but current-year company-level attendee evidence is currently thin |
| Apollo targeting potential |
High |
Event theme maps well to biotech, pharma, higher education, research, and scientific IT profiles |
| Geographic targeting potential |
High |
Can target UK, Ireland, Europe, and global life-science research hubs |
| Best outreach approach |
High-value educational outreach |
Use problem-led messaging around analytics speed, reproducibility, publication support, and collaboration outcomes |
| Overall lead quality |
High |
Good fit for specialized B2B life-science solutions; less effective for general mass-market products |
| Best use case |
Targeted ABM and role-based outreach |
Best for scientific account development, partnerships, demos, and thought-lead follow-up |
| Limitations / risks |
Medium |
Limited public attendee transparency; this is not an exhibitor-heavy procurement event |
Apollo.io Targeting Recommendation
| Filter Type |
Recommended Filters |
Purpose |
| Apollo industries |
Biotechnology; Pharmaceuticals; Research; Higher Education; Hospital & Health Care; Information Technology & Services; Computer Software; Medical Devices |
Align outreach with organizations most likely to value bioinformatics research and scientific data solutions |
| Departments |
Research; Engineering; Information Technology; Data Science; Operations; Education |
Capture both technical users and infrastructure decision-makers |
| Seniority |
Director; VP; CXO; Head; Manager; Owner/Partner where relevant to scientific software firms |
Prioritize budget holders and solution sponsors |
| Job titles |
Principal Investigator; Director of Bioinformatics; Head of Computational Biology; Bioinformatics Scientist; Research Scientist; Director of Genomics; Data Science Director; Research Computing Director; CTO; Chief Scientific Officer |
Reach the most relevant technical and strategic contacts |
| Geography |
United Kingdom; Ireland; Western Europe; selected North America and APAC life science hubs |
Mirror the likely global but UK/Europe-centered attendee footprint |
| Employee size |
11-50; 51-200; 201-500; 501-1000; 1001-5000; 5001+ |
Covers biotech startups, research institutes, universities, and enterprise pharma |
| Keywords |
bioinformatics, computational biology, genomics, proteomics, multi-omics, sequence analysis, systems biology, precision medicine, drug discovery, scientific computing |
Improve intent alignment and event-theme relevance |
| Technologies |
Cloud infrastructure, data analytics, AI/ML platforms, HPC environments, workflow orchestration where available |
Useful if the client sells scientific software or infrastructure |
| Revenue range |
Use broad range or leave open |
Academic and nonprofit research buyers may not map cleanly by revenue |
| Company type |
Public; Private; Nonprofit; Educational; Government-related research entities where relevant |
Supports broader scientific ecosystem prospecting |
Suggested Apollo Search Logic: (“bioinformatics” OR “computational biology” OR genomics OR proteomics OR “multi-omics” OR “sequence analysis” OR “precision medicine”) AND (Director OR Head OR Principal Investigator OR Scientist OR CTO OR “Chief Scientific Officer”) AND industry in Biotechnology, Pharmaceuticals, Research, Higher Education, Hospital & Health Care, Information Technology & Services, or Computer Software.
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Sources & Verification Notes
| Source |
Type |
What It Verified |
Reliability |
| ICBRA 2026 Official Website |
Official event website |
Conference name, dates, Belfast location statements, publication model, important dates, contact details, historical series description |
High |
| ICBRA 2026 Official Website – Homepage text review |
Official source interpretation note |
A location inconsistency appears in the homepage carousel text, which mentions Prague, Czech Republic, while the welcome text clearly states Belfast, UK. This report treats Belfast, UK as the stronger official location evidence because it appears in the main welcome description and closing invitation text. |
High for inconsistency flag; Medium for unresolved venue detail |
| ICBRA 2026 Official Website – News and Important Dates |
Official event update |
Call for papers open, speaker participation note, submission/notification/registration deadlines, conference dates |
High |