DNA mutations

In bioinformatics, the issue of mutation discovery and type determination remains a significant concern. The problem is divided by the researchers into binary classification and multi-class problems. When the user wants to know if the DNA sequence has been altered, the issue is a binary classification problem. When it is desirable to identify the principal class of mutation or its sub-classes, the problem becomes more challenging. The primary classes of mutations are deletion, insertion, and replacement mutation, and their sub-classes are (deletion frameshift, deletion in-frame, insertion frameshift, insertion in-frame, silent, missense, nonsense, and read-through). Additionally, answers to sporadic issues like the DNA sequence alignment challenge are necessary for mutation detection techniques. Due to the scarcity of labeled databases, this data set was created by addressing an unlabeled database and creating random mutations of all kinds for the purpose of benefiting from them by researchers in the field of bioinformatics to analyze DNA sequences and know the impact of mutations on humans. By using a database published on the NCBI GeneBank website (NC_045512.2 Severe acute respiratory syndrome coronavirus 2 isolate Wuhan-Hu-1, complete genome).