Accepted_test

Short insertions and deletions that do not induce frameshifts in protein (inframe indels) are of considerable interest because their functional and clinical effects remain largely unexplored and range from severe disease to no phenotypic manifestations. Since large-scale experimental assessment of indel clinical and/or functional effects is not feasible, computational approaches that provide effect prediction are very relevant. Currently, both “classical” bioinformatics methods and novel deep learning approaches are used for effect prediction.