Genetics and Bioinformatics

Harnessing the power of high-throughput sequencing and advanced computational analytics, this research group is at the forefront of modern genomic sciences. A significant emphasis is placed on the mapping of genetic diversity, conducting comprehensive genomic profiling, and identifying critical Single Nucleotide Polymorphism (SNP) markers. Researchers actively employ Genome-Wide Association Studies (GWAS) to link specific genetic variants to observable phenotypic traits, such as disease resistance and agronomic value in critical biological resources. By integrating biological data with sophisticated bioinformatic algorithms, the division accelerates the discovery of genetic markers essential for precision breeding, the conservation of invaluable genetic assets, and the enhancement of biological resilience, ultimately translating massive biological datasets into actionable scientific knowledge.

Publications

  • Genome-Wide SNP Discovery and Population Structure Analysis of 244 Indonesian Local Rice Accessions
    Rizky Dwi Satrio, Miftahul Huda Fendiyanto, Satya Nugroho, Aris Hairmansis, Miftahudin Miftahudin · HAYATI Journal of Biosciences, 2025
  • Rice QTL hotspots related with seed grain size, shape, weight, and color based on genome wide association study and linkage mapping
    Rizky Dwi Satrio, Miftahul Huda Fendiyanto, Nisa Nurrahmah, Nabila Anofri, Mohammad Ikhsan, Satya Nugroho, Aris Hairmansis, Miftahudin Miftahudin · Scientific Reports, 2025
  • SNP-Based molecular characterization of TAD1 , GS3 , and ABA8ox2 genes in Indonesian Rice for early marker discovery
    FIRDHA CHAYLIA AYU RACHMANDIKA, Rizky Dwi Satrio, Hamim Hamım, Miftahudin Miftahudin · IOP Conference Series Earth and Environmental Science, 2025
  • Tools and Techniques Used at Global Scale Through Genomics, Transcriptomics, Proteomics, and Metabolomics to Investigate Plant Stress Responses at the Molecular Level
    Rizky Dwi Satrio, Miftahul Huda Fendiyanto, Miftahudin Miftahudin · Molecular Dynamics of Plant Stress and its Management, 2024
  • Integrating Differential Expression and Weighted Correlation Network Analysis for Identifying Genes Controlling Shoot Development in Sorghum Bicolor
    Rizky Dwi Satrio, Isna Arofatun Nikmah, Miftahul Huda Fendiyanto, Mentari Pratami · SSRN Electronic Journal, 2023
  • Construction of an ultra-high-density consensus genetic map and analysis of recombination rate variation in Sorghum bicolor
    Rizky Dwi Satrio, Isna Arofatun Nikmah, Miftahul Huda Fendiyanto, Mentari Pratami, MO AWWANAH, Nastiti Intan Permata Sari, NADYA FARAH, NURHADIYANTA NURHADIYANTA · Asian Journal of Agriculture, 2022
  • Integrating differential expression and weighted correlation network analysis for identifying genes controlling shoot development in Sorghum bicolor
    Rizky Dwi Satrio · Zenodo (CERN European Organization for Nuclear Research), 2022
  • Mapping and identification of QTL for agro-physiological traits in rice (Oryza sativa L.) under drought stress
    Rizky Dwi Satrio, Miftahul Huda Fendiyanto, Ence Darmo Jaya Supena, Suharsono Suharsono, Miftahudin Miftahudin · Plant Gene, 2022
  • Genome-wide SNP discovery, linkage mapping, and analysis of QTL for morpho-physiological traits in rice during vegetative stage under drought stress
    Rizky Dwi Satrio, Miftahul Huda Fendiyanto, Ence Darmo Jaya Supena, Suharsono Suharsono, Miftahudin Miftahudin · Physiology and Molecular Biology of Plants, 2021
  • Genomic Improvement of Rice for Drought, Aluminum, and Iron Toxicity Stress Tolerance
    Miftahudin Miftahudin, Miftahul Huda Fendiyanto, Rizky Dwi Satrio, Turhadi Turhadi, Tatik Chikmawati · Genomic Designing for Abiotic Stress Resistant Cereal Crops, 2021
  • Identification of drought-responsive regulatory genes by hierarchical selection of expressed sequence tags and their expression under drought stress in rice.
    Rizky Dwi Satrio, Miftahul Huda Fendiyanto, Ence Darmo Jaya Supena, Suharsono Suharsono, Miftahudin Miftahudin · International Journal of Agriculture and Biology, 2019