Mariam Amouzoune | Portfolio

GWAS — Barley Stripe Rust Resistance

Genome-wide association study identifying genomic loci associated with resistance to stripe rust in barley using SNP markers and PLINK/TASSEL pipelines.

GWAS Barley Stripe Rust PLINK R

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GWAS — Net Blotch Resistance in Barley

Identification of QTLs for net blotch resistance across Moroccan barley accessions using genome-wide SNP data and mixed linear models.

GWAS Net Blotch QTL TASSEL Python

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NGS Data Analysis Pipeline

Automated bioinformatics pipeline for processing next-generation sequencing data: quality control, read mapping, variant calling, and annotation.

NGS BWA GATK Linux Bash

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Population Structure Analysis

Assessment of genetic diversity and population structure in Moroccan barley germplasm using STRUCTURE, PCA, and phylogenetic analysis tools.

STRUCTURE PCA Diversity R MEGA

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Field Disease Scoring Tool

Python-based tool for standardized field scoring of cereal disease symptoms, with data export and statistical summary for downstream GWAS analysis.

Python Field Trials Data Analysis Cereal Diseases

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Genomic Prediction Models

Implementation and comparison of genomic prediction models (GBLUP, BayesB, RRBLUP) for disease resistance traits in barley breeding programs.

Genomic Prediction GBLUP BayesB R rrBLUP

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My Projects

GWAS — Barley Stripe Rust Resistance

GWAS — Net Blotch Resistance in Barley

NGS Data Analysis Pipeline

Population Structure Analysis

Field Disease Scoring Tool

Genomic Prediction Models