PhD paper on bioRxiv

In December, I published the outcomes of my doctoral research as a preprint on bioRxiv (M. Chen Nowick 2024) . The article focuses on the analysis of orthologs and transposable elements relationships across species and under different conditions using the R software TEKRABber (Y.-C. Chen and Nowick 2023), which I developed. This software stands out for its ability to analyze the most common RNA-seq data, and its key correlation calculations are enhanced for computational speed using RCpp (C++).

As of January, the software is ranked 925 out of 2266 on Bioconductor, the largest open-source platform for bioinformatics. Our next step involves submitting this article to a scientific journal.

References

Chen, Maupas, Nowick. 2024. “Regulatory Networks of KRAB Zinc Finger Genes and Transposable Elements Changed During Human Brain Evolution and Disease.” bioRxiv. https://doi.org/10.1101/2023.12.18.569574.

Chen, Yao-Chung, and Katja Nowick. 2023. “TEKRABber: An r Package Estimates the Correlations of Orthologs and Transposable Elements Between Two Species.” https://doi.org/10.18129/B9.bioc.TEKRABber.