Sequence analysis of Leukemia DNA

Nasria Nacong; Desy Lusiyanti; Muhammad Isa Irawan

doi:10.1063/1.5026082

Sequence analysis of Leukemia DNA

Nasria Nacong
, Desy Lusiyanti
, Muhammad Isa Irawan

Tadulako University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

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 language	English
Title of host publication	Symposium on Biomathematics, SYMOMATH 2017
Editors	Dewi Handayani, Mikkel Quam, Peter van Heijster
Publisher	American Institute of Physics Inc.
ISBN (Electronic)	9780735416291
DOIs	https://doi.org/10.1063/1.5026082
Publication status	Published - 6 Mar 2018
Event	Symposium on Biomathematics, SYMOMATH 2017 - Bandung, Indonesia Duration: 27 Aug 2017 → 29 Aug 2017

Publication series

Name	AIP Conference Proceedings
Volume	1937
ISSN (Print)	0094-243X
ISSN (Electronic)	1551-7616

Conference

Conference	Symposium on Biomathematics, SYMOMATH 2017
Country/Territory	Indonesia
City	Bandung
Period	27/08/17 → 29/08/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Access to Document

10.1063/1.5026082

Cite this

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title = "Sequence analysis of Leukemia DNA",

abstract = "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.",

author = "Nasria Nacong and Desy Lusiyanti and Irawan, \{Muhammad Isa\}",

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doi = "10.1063/1.5026082",

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series = "AIP Conference Proceedings",

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Sequence analysis of Leukemia DNA. / Nacong, Nasria; Lusiyanti, Desy; Irawan, Muhammad Isa.
Symposium on Biomathematics, SYMOMATH 2017. ed. / Dewi Handayani; Mikkel Quam; Peter van Heijster. American Institute of Physics Inc., 2018. 020010 (AIP Conference Proceedings; Vol. 1937).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Sequence analysis of Leukemia DNA

AU - Nacong, Nasria

AU - Lusiyanti, Desy

AU - Irawan, Muhammad Isa

PY - 2018/3/6

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N2 - 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.

AB - 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.

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U2 - 10.1063/1.5026082

DO - 10.1063/1.5026082

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BT - Symposium on Biomathematics, SYMOMATH 2017

A2 - Handayani, Dewi

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A2 - van Heijster, Peter

PB - American Institute of Physics Inc.

T2 - Symposium on Biomathematics, SYMOMATH 2017

Y2 - 27 August 2017 through 29 August 2017

ER -

Sequence analysis of Leukemia DNA

Abstract

Publication series

Conference

UN SDGs

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