Open AccessSequences analysis and phylogenetic of leukemia DNA
Author(s) -
D Lusiyanti,
N. Nacong,
Mohammad Isa Irawan
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1763/1/012034
Subject(s) - alignment free sequence analysis , genbank , multiple sequence alignment , sequence (biology) , structural alignment , sequence alignment , dna , sequence analysis , sequence logo , computational biology , phylogenetic tree , dna sequencing , pairwise comparison , genetics , similarity (geometry) , nucleic acid , biology , computer science , consensus sequence , peptide sequence , artificial intelligence , base sequence , gene , image (mathematics)
DNA is one part of a biological sequence other than RNA and protein. DNA is a nucleic acid that stores all the unique biological information of every living thing and several viruses. Someone who has an illness can be seen in the structure of the DNA which can then be compared with other DNA structures. This process is part of sequence analysis which is the core of bioinformatics. This study aims to analyze the results of sequences alignment of cancer. The sequence was obtained from DNA leukemia taken from GenBank (www.ncbi.nlm.nih.gov). In the sequence analysis, the most basic thing is the sequence alignment. Alignment results can provide information about the level of similarity in the structure of the two sequences. This study will apply the Super Pairwise Alignment method that is implemented in JAVA-based programming languages. Alignment results are carried out by giving different values of gap penalty and gap extend. The results of the study obtained different alignment values, this proves that there is a significant effect of the selection of core parameters used in alignment.