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International Conference on Statistical Genetics and Genomics

📅 23–24 Mar 2027 📍 Changwon, South Korea 👤 Standard / Listener

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$185

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Conference session tracks

Key research areas covered across the sessions — tap a track to read more.

This track focuses on the development and application of statistical methodologies specifically tailored for genetic data analysis. Topics include association mapping, single-marker analyses, and probabilistic models of genome sequences.

This session emphasizes computational approaches in genomics, including the use of bioinformatics tools to model and interrogate biological phenomena. Participants are encouraged to present novel algorithms and databases that facilitate genomic research.

This track explores the statistical analysis of functional genetics and evolutionary processes. Contributions may include studies on gene expression, evolutionary patterns, and the role of noncoding RNAs.

This session highlights statistical techniques used in comparative genomics and metagenomics. Presentations will cover methods for analyzing genomic data across different species and complex microbial communities.

This track focuses on statistical approaches to epigenomic data, including DNA methylation analysis. Researchers are invited to discuss the implications of epigenetic modifications on gene regulation and inheritance.

This session is dedicated to the statistical methodologies employed in analyzing next-generation sequencing data. Topics include data processing, variant calling, and the integration of NGS with other omics data.

This track delves into the statistical techniques for analyzing biological sequences, including DNA, RNA, and protein sequences. Emphasis will be placed on sequence alignment, motif discovery, and evolutionary analysis.

This session aims to bridge the gap between gene expression studies and population genetics through statistical analysis. Presentations will focus on the interplay between genetic variation and gene expression patterns.

This track covers statistical methods in phylogenetics and structural bioinformatics. Participants are encouraged to present innovative approaches for inferring evolutionary relationships and modeling biomolecular structures.

This session focuses on the application of data mining techniques and ontological frameworks in genetic research. Contributions may include novel approaches to extracting insights from large genetic datasets.

This track explores the intersection of bioimage informatics and genomics, emphasizing statistical methods for analyzing biological images. Topics may include image processing techniques and their applications in understanding genetic phenomena.