{"title":"An Improved Upper Bound for Genome Rearrangement by Prefix Transpositions","authors":"Pramod P. Nair, Rajan Sundaravaradhan","doi":"10.1109/ACCTHPA49271.2020.9213217","DOIUrl":null,"url":null,"abstract":"Genome rearrangement problems in Genomics are studied extensively due to their significance in the evolution theory and detection of hereditary illnesses. This is a challenging problem in Big Data science for Computational Biologist due to the large number of DNA sequences being generated, explored, and analyzed. Identifying the position of genes in a genome as a permutation has transformed this problem into a sorting of permutations with certain constraints. Sorting permutations by different types of reversals and transpositions have been an active area of research due to their high resemblance to genome rearrangements. A prefix transposition is a particular type of transposition where the first few symbols of the permutation are moved to another fixed position. In this paper, we provide a better upper bound for sorting permutations by prefix transpositions.","PeriodicalId":191794,"journal":{"name":"2020 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACCTHPA49271.2020.9213217","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Genome rearrangement problems in Genomics are studied extensively due to their significance in the evolution theory and detection of hereditary illnesses. This is a challenging problem in Big Data science for Computational Biologist due to the large number of DNA sequences being generated, explored, and analyzed. Identifying the position of genes in a genome as a permutation has transformed this problem into a sorting of permutations with certain constraints. Sorting permutations by different types of reversals and transpositions have been an active area of research due to their high resemblance to genome rearrangements. A prefix transposition is a particular type of transposition where the first few symbols of the permutation are moved to another fixed position. In this paper, we provide a better upper bound for sorting permutations by prefix transpositions.