Important Dates
Early Bird Registration :2nd January 2027
Paper Submission Deadline :7th January 2027
Last Date of Registration : 17th January 2027
Date of Conference : 1st - 2nd February 2027
Conference Session Tracks
Aligned with
UN Sustainable Development Goals
This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals.
SDG 3 — Good Health and Well-being
SDG 4 — Quality Education
SDG 9 — Industry, Innovation and Infrastructure
SDG 10 — Reduced Inequalities
SDG 12 — Responsible Consumption and Production
SDG 15 — Life on Land
SDG 17 — Partnerships for the Goals
Track 01
Statistical Methods in Genetics
This track focuses on innovative statistical techniques applied to genetic data analysis. Topics include association mapping, single-marker analyses, and probabilistic models of genome sequences.
Track 02
Computational Genomics
This session emphasizes the development and application of computational tools for genomic data interpretation. Participants will explore novel algorithms and software for analyzing large-scale genomic datasets.
Track 03
Statistical Genomics
This track addresses the integration of statistical methodologies with genomic data to uncover biological insights. Discussions will include statistical sequence analysis and functional genetics.
Track 04
Evolutionary Genetics
This session delves into the statistical approaches used to study evolutionary processes in genetic variation. Topics will cover comparative genetics and phylogenetics.
Track 05
Metagenomics and Epigenomics
This track explores statistical methods for analyzing metagenomic and epigenomic data. Emphasis will be placed on DNA methylation analysis and the role of noncoding RNAs.
Track 06
Bioinformatics Tools and Databases
This session highlights the latest bioinformatics tools and databases designed for modeling biological phenomena. Participants will discuss data mining techniques and the development of ontologies.
Track 07
Applications of Next-Generation Sequencing (NGS)
This track focuses on statistical applications in NGS analysis, including data interpretation and variant calling. Emphasis will be placed on the challenges and innovations in analyzing NGS data.
Track 08
Gene Expression Analysis
This session examines statistical approaches to analyzing gene expression data. Topics will include differential expression analysis and the integration of multi-omics data.
Track 09
Population Genetics and Genetic Epidemiology
This track focuses on statistical methods for studying genetic variation within populations. Discussions will include genetic association studies and population structure analysis.
Track 10
Structural Bioinformatics
This session explores the intersection of statistical analysis and structural bioinformatics. Topics will include modeling protein structures and analyzing biomolecular interactions.
Track 11
Data Science in Biological Research
This track emphasizes the role of data science techniques in advancing biological research. Participants will explore machine learning applications and big data analytics in genomics.