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Meta-analysis of single-cell RNA-sequencing studies for SARS-CoV-2
A preprint by Muus et al. reports a large collaborative meta-analysis of more than hundred single-cell and single-nucleus RNA-seq studies to characterize key proteins involved in host-pathogen interactions of the SARS-CoV-2 virus that causes the COVID-19 pandemic. Here are my learning notes.
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Spotting problems that both matter and are computationally solvable
Derek Lowe’s blog post Calculating your way to antivirals is an interesting read about his reflection on computation (docking in particular) in drug discovery. Here are my learning notes and reflections.
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Discoveries Weekly No. 8 (June 1-7, 2020)
Here are some discoveries that fascinates me this week.
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RNA-guided endonuclease editing: history and testing in the clinic
Bruce Sullenger published a succinct review of the history and recent progress of RNA-guided endonuclease (RGEN) editing of RNA and DNA on Cell. Here are my learning notes.
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Probing protein communities with mass spectrometry
Budayeva and Kirkpatrick argue in their review Monitoring protein communities and their responses to therapeutics (Nature Reviews Drug Discovery, 2020) that mass spectrometry help us decipher complex relations between protein communities and understand how disease and drug influence them.