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  • Intrisincally disodered regions in transcription factors

    It is long known that transcription factors (TFs) which bind to common DNA motifs in vitro occupy distinct sets of promoters in vivo. The reason for that is not clear. A new study may provide some hints. Spoiler warning: it involves intrisincally disordered regions.

  • An application of machine learning for DNA-encoded library screening

    A post in the Google AI Blog features a paper by McCloskey et al (Journal of Medicinal Chemistry 2020), reporting an application of machine learning to DNA-Encoded Library (DEL) screening results. Here are my learning notes.

  • Degree of freedom in statistical testing

    In this Minitab Blog Post I found a clear explanation of the concept of degree of freedom (often abbreviated as ‘d.f.’) in the context of hat warning (!), one-sample t-test, Chi-square test, and linear regression.

  • About time

    How we spend time is how we live our lives. I learned this when reading Momo written by Michael Ende three years ago. It is a fantastic book that I am lucky not to have missed.

  • Submitting Snakemake jobs to Slurm

    I was often confused by the many Slurm settings supported by Snakemake. Partly because Snakemake provides huge flexibility to control the behaviour of Slurm, partly because I failed to find consistent documentations over the issues that I met. Therefore, I write my learnings down here.