DeepC: predicting 3D genome folding using megabase-scale transfer learning

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    Algorithms trained to interpret microscope data can greatly extend the information that can be derived from the resulting images, or even optimize how imaging experiments are conducted.

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    Fluorescent proteins can bind amyloid fibrils formed from natural peptides and proteins.

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    An integrative modeling framework enables cross-validation of existing E. coli datasets and prediction of uncharacterized parameters.

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Expanding the CRISPR Toolbox

The CRISPR-Cas9 system is best known for its ability to knock out or replace specific genes, via targeted cleavage of the genome. But scientists are developing many more applications, typically by using an inactive Cas9 to target other enzymes to specific genomic sites. From transcriptional regulation to base editing, these developments are extending the range of biological questions that can be probed with CRISPR/Cas9.

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