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Implementasi Algoritma Smith–Waterman Pada Local Alignment Dalam Pencarian Kesamaan Pensejajaran Barisan DNA (Studi Kasus: DNA Tumor Wilms)

Authors: Ernawati, Ernawati; Diyah , Puspitaningrum; Ambar , Pravitasari;

Implementasi Algoritma Smith–Waterman Pada Local Alignment Dalam Pencarian Kesamaan Pensejajaran Barisan DNA (Studi Kasus: DNA Tumor Wilms)

Abstract

Pencarian kesamaan pensejajaran barisan DNA dengan menggunakan algoritma Smith – Waterman pada local alignment ini digunakan untuk mencari persentase kesamaan yang dihasilkan untuk mengetahui tingkat kesamaan pensejajaran 2 buah sekuen. DNA merupakan suatu makro molekul yang tersusun oleh nukleotida sebagai molekul dasar yang membawa sifat gen. Aplikasi pencarian kesamaan pensejajaran barisan DNA ini diharapkan dapat memberikan kemudahan dalam melakukan pensejajaran 2 buah sekuen sehingga menampilkan tingkat kemiripan dari kedua sekuen DNA tersebut. Pada penelitian ini, sebagai masukannya menggunakan string barisan DNA yang di peroleh dari National Center for Biotechnology Information ( www.ncbi.nlm.nih.gov ) yang memiliki keluaran berupa persentase kesamaan serta lamanya waktu proses dijalankan. Kata kunci : local alignment, Smith – Waterman , DNA

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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