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Pengelompokan sekuens protein virus herpes menggunakan tribe markov clustering (tribe-MCL) = Clustering of protein sequences herpes virus using tribe markov clustering (tribe-MCL) / Nurlaili Lisma Febriyani

Nurlaili Lisma Febriyani; Alhadi Bustaman, supervisor; Titin Siswantining, supervisor; Djati Kerami, examiner; Dian Lestari, co-promotor ([Publisher not identified] , 2015)

 Abstrak

[ABSTRAK
Berdasarkan data World Health Organization (WHO) diketahui prevalensi herpes
di negara-negara berkembang lebih tinggi dibandingkan dengan di negara maju.
Virus herpes dapat ditemukan dimana saja dan salah satu ciri penting adalah
kemampuannya yang dapat menimbulkan infeksi akut dan kronik pada waktuwaktu
tertentu. Akibat infeksi tersebut memungkinkan terjadi komplikasi yang
lebih berat. Virus herpes terdiri atas genome DNA tertutup inti yang mengandung
protein dan dibungkus oleh glikoprotein. Dengan mempelajari ekspresi gen
(sekuen DNA/protein) dan didukung oleh kemajuan di bidang bioinformatika,
dapat ditemukan sub-sub bagian penting dan kelompok gen. Virus-virus ini dapat
dikelompokkan dengan menganalisa sekuens protein dari virus herpes dengan
menggunakan algoritma Tribe Markov Clustering (Tribe-MCL). Tribe-MCL
merupakan metode clustering efisien berdasarkan teori rantai Markov chain,
untuk mengelompokkan barisan keluarga protein. Data sekuens protein virus
herpes diperoleh di GenBank yang dapat diakses pada situs National Center for
Biotechnology Information (NCBI), kemudian disejajarkan menggunakan
program BLASTp. Hasil pengelompokan sekuen protein virus herpes
menggunakan algoritma Tribe-MCL dengan program R diperoleh enam
kelompok . Semua kelompok menunjukkan jenis protein yang sama, dalam hal
ini jenis protein yang digunakan adalah glikoprotein B, M, dan H pada delapan
jenis virus herpes yang terjangkit pada manusia.

ABSTRACT
Based on World Health Organization (WHO) data, the prevalence of herpes in
developing countries is higher than in developed countries. The herpes virus can
be found anywhere and one of the important characteristics is its ability to cause
acute and chronic infection at certain times. Due to infections enables more
severe complications occur. The herpes virus is composed of DNA containing
protein and wrapped by glycoproteins. By studying the expression of genes
(sequences of DNA / protein) and is supported by advances in bioinformatics, can
be found an important sub-sections and groups of genes. These viruses can be
classified by analyzing the sequence of the protein-sequence of the herpes virus
using algorithm Tribe Markov Clustering (Tribe-MCL). Tribe-MCL is an efficient
clustering method based on the theory of Markov chains, to classify sequences of
protein families. Herpes virus protein sequence data obtained in GenBank which
can be accessed on the website National Center for Biotechnology Information
(NCBI), then aligned using BLASTp program. The results of clustering protein
sequences herpes virus using algorithms (Tribe-MCL) with a program of R
obtained six cluster. All clusters showed the same type of protein, in this case the
type of protein used is a glycoprotein B, F, and H in eight types of herpes virus
that infected humans, Based on World Health Organization (WHO) data, the prevalence of herpes in
developing countries is higher than in developed countries. The herpes virus can
be found anywhere and one of the important characteristics is its ability to cause
acute and chronic infection at certain times. Due to infections enables more
severe complications occur. The herpes virus is composed of DNA containing
protein and wrapped by glycoproteins. By studying the expression of genes
(sequences of DNA / protein) and is supported by advances in bioinformatics, can
be found an important sub-sections and groups of genes. These viruses can be
classified by analyzing the sequence of the protein-sequence of the herpes virus
using algorithm Tribe Markov Clustering (Tribe-MCL). Tribe-MCL is an efficient
clustering method based on the theory of Markov chains, to classify sequences of
protein families. Herpes virus protein sequence data obtained in GenBank which
can be accessed on the website National Center for Biotechnology Information
(NCBI), then aligned using BLASTp program. The results of clustering protein
sequences herpes virus using algorithms (Tribe-MCL) with a program of R
obtained six cluster. All clusters showed the same type of protein, in this case the
type of protein used is a glycoprotein B, F, and H in eight types of herpes virus
that infected humans]

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 Metadata

No. Panggil : T43669
Entri utama-Nama orang :
Entri tambahan-Nama orang :
Entri tambahan-Nama badan :
Subjek :
Penerbitan : [Place of publication not identified]: [Publisher not identified], 2015
Program Studi :
Bahasa : ind
Sumber Pengatalogan : LibUI ind rda
Tipe Konten : text
Tipe Media : unmediated ; computer
Tipe Carrier : volume ; online resource
Deskripsi Fisik : xii, 61 pages ; 28 cm + appendix
Naskah Ringkas :
Lembaga Pemilik : Universitas Indonesia
Lokasi : Perpustakaan UI, Lantai 3
  • Ketersediaan
  • Ulasan
No. Panggil No. Barkod Ketersediaan
T43669 15-17-111901900 TERSEDIA
Ulasan:
Tidak ada ulasan pada koleksi ini: 20415688