Computational Approaches

Find in this page information about Computational Approaches in Biology and Data Science employing R, Python, Matlab, including:

  • Computational approaches
    • big data analysis in biological sciences (computational biology)
    • to monitor students' learning and performance in the classroom
    • to implement machine learning methods


  • Differential Gene Expression between Fetal and Adult BrainIn this genomic data science project, we are evaluated differences in gene expression between fetal and adult brains. Transcriptome sequencing data (known as RNA-seq) for this genomic data science project was sequenced on an Illumina platform from human post-mortem brains. The raw sequencing data and meta-data related to each brain sample was retrieved from a public database. The data was aligned, quality control performed on the alignments, and gene count levels of expression will be determined. With the aid of exploratory and fitting statistical models,  patterns of gene expression were identified between fetus and adult brains. Findings from this genomic data science project provided insights into genes differentially expressed between fetus and adult brains, and represents an example of reproducible research in genomic sciences.