Registration summary
ConferenceICASGB
ModeStandard / Physical
ParticipationListener
Registration fee$155.00
Bank charges (5.8%)$8.99
Total payable$163.99
Includes all bank processing charges — the amount above is exactly what will be charged.
Benefits of Registering as Listener
Access to Conference Sessions
Networking Opportunities
Certificate of Participation
Invitation Letter Support
Conference Kit / Materials
Access to Keynote Sessions
• Conference Session Tracks •
SDG-Aligned Research Themes
ICASGB conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
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.
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.
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.
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.
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.
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.
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.
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.
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.
10 Structural Bioinformatics +
This session explores the intersection of statistical analysis and structural bioinformatics. Topics will include modeling protein structures and analyzing biomolecular interactions.
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.
