Single-cell RNA sequencing is a powerful technology that can reveal a lot about what happens in a group of cells as they develop.
But because the technology destroys a cell, it can only provide snapshots of the cells in a group at one point in time.
To really understand how cells develop over time, snapshots aren't good enough: scientists want to fill in the gaps between snapshots and string everything together into a movie.
Here Geoffrey Schiebinger explains how he and colleagues have figured out how to do just that, by tapping a powerful 18th century mathematical method called optimal transport.
Learn more about what Schiebinger and other Broad scientists are doing with optimal transport here.
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A new study by Dr Thomas Stoeger, a postdoc at North Western University, suggests there is a historical bias involved in COVID-19 genetics research. Scientists are studying human genes that have already been heavily investigated, independent of COVID-19. He explains all, in this installment of Teach Me in 10.
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