Hybrid Conferencee

International Conference on Statistical Genetics and Genomics (ICSGG - 27)

31st - 1st June 2027 | San Pedro Sula, Honduras
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Expand the Academic Reach of Your Research - a Q1-ranked and Scopus-indexed journal publication opportunity

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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in San Pedro Sula. 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 San Pedro Sula 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 San Pedro Sula conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in San Pedro Sula, 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 San Pedro Sula."
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 2
SDG 2 Zero Hunger
SDG 3
SDG 3 Good Health and Well-being
SDG 4
SDG 4 Quality Education
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.