Exploring bulk RNA-seq data has become a cornerstone for uncovering crucial insights into gene expression patterns and their relationship to phenotypes in biomedical research. One of the key tools in this domain is DESeq2, a powerful R package that has revolutionized differential expression analysis. However, a recent trend towards Python-based bioinformatics tools has highlighted the…
Scientists from the California Institute of Technology, United States, have developed a python package, ‘BioCRNpyler’, to build, manage, and explore intricate biochemical models. BioCRNpyler can be used to speed up the computer-assisted design of biochemical circuits and the creation of model-driven hypotheses in biology. Biochemical interactions in systems and synthetic biology are frequently modeled with…
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