Linear time minimum segmentation enables scalable founder reconstruction.

Tuukka NorriBastien CazauxDmitry KosolobovVeli Mäkinen

Published in: Algorithms for molecular biology : AMB (2019)

Our improvement enables to apply the formulation on an input of thousands of complete human chromosomes. We implemented the new algorithm and give experimental evidence on its practicality. The implementation is available in https://github.com/tsnorri/founder-sequences.

Keyphrases

deep learning
endothelial cells
machine learning
healthcare
convolutional neural network
drug delivery
induced pluripotent stem cells
pluripotent stem cells
quality improvement
neural network
genetic diversity