Department:  Faculty of Animal Husbandry, Institute of Animal and Dairy Sciences

Position:  Assistant Professor

HEC Approved Supervisor:  NO

Research Intersts:  My research is focused on animal breeding and quantitative genomics. I have been working on developing bioinformatics and machine learning-based pipelines for the analysis of genomic data with the aim of deciphering the intricate genetics underlying quantitative traits. I have a special interest in the methodologies employed for GWAS, selection signature detection, and genomic selection.

Publications:  

1. Klees, S. , J. Schlüter, J. Schellhorn, H. Bertram, A. C. Kurzweg, F. Ramzan, A. O. Schmitt, and M. Gültas, 2022, Comparative Investigation of Gene Regulatory Processes Underlying Avian Influenza Viruses in Chicken and Duck. Biology., Biology , 11(2), 219
2. Jansen, S. , U. Baulain, C. Habig, F. Ramzan, J. Schauer, A. O. Schmitt, A. M. Scholz, A. R. Sharifi, A. Weigend, and S. Weigend, 2021, Identification and Functional Annotation of Genes Related to Bone Stability in Laying Hens Using Random Forests. , Genes, 12(5) , 702-720
3. Ramzan, F. , S. Klees, A. O. Schmitt, and M. Gültas, 2021, Identification of Age-Specific and Common Key Regulatory Mechanisms Governing Eggshell Strength in Chicken Using Random Forests, Genes, 11(4), 464
4. Heinrich, F. , F. Ramzan, A. Rajavel, A. O. Schmitt, and M. Gültas, 2021, MIDESP: Mutual Information-Based Detection of Epistatic SNP Pairs for Qualitative and Quantitative Phenotypes, Biology , 10(9), 921
5. Ramzan, F. , M. S. Khan, and A. O. Schmitt, 2020, Survey data to identify the selection criteria used by breeders of four strains of Pakistani beetal goats, Data in Brief, 32, 106051-106
6. Ramzan, F. , M. Gültas, H. Bertram, D. Cavero, and A. O. Schmitt, 2020, Combining Random Forests and a Signal Detection Method Leads to the Robust Detection of Genotype-Phenotype Associations. , Genes, 11(8) , 892
7. Ramzan, F. , M. S. Khan, S. A. Bhatti, M. Gültas, and A. O. Schmitt, 2020, Breeding objectives and selection criteria for four strains of Pakistani Beetal goats identified in a participatory approach. , Small Ruminant Research , 190, 106163-106

TTS

+923138807802

drfaisal.ramzan@uaf.edu.pk