Important Dates
Early Bird Registration :21st February 2027
Paper Submission Deadline :26th February 2027
Last Date of Registration : 8th March 2027
Date of Conference : 23rd - 24th March 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 2 — Zero Hunger
SDG 3 — Good Health and Well-being
SDG 4 — Quality Education
SDG 9 — Industry, Innovation and Infrastructure
SDG 10 — Reduced Inequalities
SDG 14 — Life Below Water
SDG 15 — Life on Land
SDG 17 — Partnerships for the Goals
Track 01
Statistical Methods in Genetics
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.
Track 02
Computational Genomics and Bioinformatics
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.
Track 03
Functional and Evolutionary Genetics
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.
Track 04
Comparative and Metagenomics
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.
Track 05
Epigenomics and DNA Methylation Analysis
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.
Track 06
Next-Generation Sequencing (NGS) Applications
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.
Track 07
Statistical Sequence Analysis
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.
Track 08
Gene Expression and Population Genetics
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.
Track 09
Phylogenetics and Structural Bioinformatics
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.
Track 10
Data Mining and Ontologies in Genetics
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.
Track 11
Bioimage Informatics in Genomics
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.