Hybrid Conferencee

International Conference on Statistical Genetics and Methodology (ICSGM - 27)

30th - 31st March 2027 | Malaga, Spain

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Malaga. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Malaga event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Malaga conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Malaga, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Malaga."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

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. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 3
SDG 3 Good Health and Well-being
SDG 4
SDG 4 Quality Education
SDG 6
SDG 6 Clean Water and Sanitation
Track 01

Statistical Methods in Genetics

This track focuses on innovative statistical techniques and methodologies applied to genetic data analysis. Topics include association mapping, single-marker analyses, and probabilistic models of genome sequences.

Track 02

Computational Genomics and Bioinformatics

This session highlights the role of computational tools and bioinformatics in understanding genomic data. It encompasses novel algorithms, databases, and software for analyzing complex biological phenomena.

Track 03

Functional and Evolutionary Genetics

This track explores the intersection of functional genetics and evolutionary biology. Discussions will include the genetic basis of adaptation and the evolutionary implications of genomic variations.

Track 04

Metagenomics and Environmental Genomics

This session addresses the statistical approaches used in metagenomics and environmental genomics. It focuses on the analysis of microbial communities and their genetic diversity in various ecosystems.

Track 05

Epigenomics and Epigenetics

This track delves into the statistical methodologies for studying epigenetic modifications and their impact on gene expression. Topics include DNA methylation analysis and the role of noncoding RNAs.

Track 06

Genome and Sequence Analysis

This session emphasizes statistical techniques for genome assembly, annotation, and sequence analysis. It covers tools and methods for analyzing genomic sequences and their functional implications.

Track 07

Comparative Genomics

This track focuses on the statistical methods used to compare genomic data across different species. It includes discussions on phylogenetics and the evolutionary relationships inferred from genetic data.

Track 08

Data Mining in Genetics

This session highlights the application of data and text mining techniques in genetic research. It aims to uncover patterns and insights from large-scale genetic datasets.

Track 09

Bioimage Informatics

This track explores the integration of statistical methods in bioimage analysis. It focuses on the quantitative assessment of biological images and their relevance to genetic research.

Track 10

Applications of Next-Generation Sequencing (NGS)

This session discusses the statistical approaches and methodologies in analyzing NGS data. It highlights applications in various fields of biology, including clinical genomics and personalized medicine.

Track 11

Statistical Genetics in Population Studies

This track examines the application of statistical genetics in understanding population dynamics and genetic diversity. It includes discussions on genetic and population analysis methodologies.