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Non‐homology‐based prediction of gene functions in maize ( Zea mays ssp. mays )
2020
The Plant Genome
Advances in genome sequencing and annotation have eased the difficulty of identifying new gene sequences. Predicting the functions of these newly identified genes remains challenging. Genes descended from a common ancestral sequence are likely to have common functions. As a result, homology is widely used for gene function prediction. This means functional annotation errors also propagate from one species to another. Several approaches based on machine learning classification algorithms were
doi:10.1002/tpg2.20015
pmid:33016608
fatcat:lldl4wonu5eh3fll27ebd4hhma