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Neural network fills in data gaps for spatial analysis of chromosomes

03:40 EST 7 Nov 2019 | Science Daily

Computational methods used to fill in missing pixels in low-quality images or video also can help scientists provide missing information for how DNA is organized in the cell, computational biologists have shown. Filling in this missing information will make it possible to more readily study the 3D structure of chromosomes and, in particular, subcompartments that may play a crucial role in both disease formation and determining cell functions.

Original Article: Neural network fills in data gaps for spatial analysis of chromosomes

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Bioinformatics is the application of computer software and hardware to the management of biological data to create useful information. Computers are used to gather, store, analyze and integrate biological and genetic information which can then be applied...