Sequence analysis of Leukemia DNA

Nasria Nacong, Desy Lusiyanti, Muhammad Isa Irawan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)


Cancer is a very deadly disease, one of which is leukemia disease or better known as blood cancer. The cancer cell can be detected by taking DNA in laboratory test. This study focused on local alignment of leukemia and non leukemia data resulting from NCBI in the form of DNA sequences by using Smith-Waterman algorithm. SmithWaterman algorithm was invented by TF Smith and MS Waterman in 1981. These algorithms try to find as much as possible similarity of a pair of sequences, by giving a negative value to the unequal base pair (mismatch), and positive values on the same base pair (match). So that will obtain the maximum positive value as the end of the alignment, and the minimum value as the initial alignment. This study will use sequences of leukemia and 3 sequences of non leukemia.

Original languageEnglish
Title of host publicationSymposium on Biomathematics, SYMOMATH 2017
EditorsDewi Handayani, Mikkel Quam, Peter van Heijster
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735416291
Publication statusPublished - 6 Mar 2018
EventSymposium on Biomathematics, SYMOMATH 2017 - Bandung, Indonesia
Duration: 27 Aug 201729 Aug 2017

Publication series

NameAIP Conference Proceedings
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616


ConferenceSymposium on Biomathematics, SYMOMATH 2017


Dive into the research topics of 'Sequence analysis of Leukemia DNA'. Together they form a unique fingerprint.

Cite this