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Abstrak :
Genomic Control Process explores the biological phenomena around genomic regulatory systems that control and shape animal development processes, and which determine the nature of evolutionary processes that affect body plan. Unifying and simplifying the descriptions of development and evolution by focusing on the causality in these processes, it provides a comprehensive method of considering genomic control across diverse biological processes. This book is essential for graduate researchers in genomics, systems biology and molecular biology seeking to understand deep biological processes w.

Abstrak :
This book follows from the editors' strong belief that information and new developments from the growing field of genomics have not reached the developing world.

Abstrak :
This book from a seasoned biologist offers new insights into the nature of life by illuminating a fascinating architecture of dualities inherent in its existence and propagation. Life is connected with individual living beings, yet it is also a collective and inherently global phenomenon of the material world. It embodies a dual existence of cycles of phenotypic life, and their unseen driver, an uninterrupted march of genetic information whose collective immortality is guaranteed by individual mortality. Although evolution propagates and tunes species of organisms, the beings produced can be regarded merely as tools for the survival and cloning of genomes written in an unchanging code. What are the physical versus informational bases and driving forces of life, and how do they unite as an integrated system? What does time mean for individuals, life on the global scale, and the underlying information? This accessible examination of principles and evidence shows that a network of dualities lies at the heart of biological puzzles that have engaged the human mind for millennia.

Abstrak :
Dengan tersedianya data genom berupa sekuen DNA pada domain publik, banyak peneliti dari berbagai lintas bidang yang memfokuskan penelitian mereka dalam studi genom untuk analisa ekstrasi informasi dan analisa data. Penelitian pada sekuen DNA dilakukan dengan menggunakan metode pengolahan signal digital disebut dengan Genomic Signal Processing (GSP). GSP dapat digunakan untuk mendiagnosis penyakit genetik yang muncul karena mutasi pada sekuen DNA, seperti kanker. Saat ini, kanker menduduki peringkat kedua sebagai penyebab kematian di dunia. Pada tingkat yang paling mendasar, kanker adalah penyakit DNA, dimana perubahan sekuen DNA dan molekul yang berinteraksi dengan DNA pada akhirnya menyebabkan profilerasi sel yng tidak terkendali. Pada skripsi ini, akan dilakukan simulasi untuk membandingkan tranformasi fourier dengan transformasi wavelet dalam mendeteksi kanker. Perancangan diawali dengan mengkonversi sekuen DNA menjadi sekuen numerik menggunakan binary sequence method. Selanjutnya,transformasi fourier / wavelet digunakan untuk menganalisa karakteristik spektral dan IIR Low Pass Filter Butterworth digunakan untuk meningkatkan akurasi dengan menekan noise. Berdasarkan simulasi, diperoleh bahwa transformasi wavelet dapat digunakan untuk mendeteksi kanker melalui analisa sekuen DNA dimana wavelet ortogonal memberikan hasil lebih baik daripada biortogonal. Dibandingkan transformasi fourier, transformasi wavelet memiliki performa yang lebih baik dalam mendeteksi sel kanker. ...... With the enormous amount of genomic data of DNA sequence available in the public domain, many researcher from various cross fields have concentrated their research in genomic study for information extraction and data analysis technique that is used to analyze DNA sequences using Digital Signal Processing (DSP) is Genomic Signal Processing (GSP). GSP can be used to diagnose genetic diseases that appear due to mutations in DNA sequences, such as cancer. Cancer is the second leading disease that cause of death in the world. Cancer is the disease of DNA because a permanent change in the DNA can develop cancer cells. This thesis will design a simulation to compare between fourier transformation and wavelet transformation for cancer detection. The design begins by converting the DNA sequence into numerical sequences using binary sequence method. Furthermore, the fourier/wavelet transform is used to analyze the spectral characteristics of DNA sequence and IIR Butterworth Low Pass Filter is used to improve the accuracy in predicting and identifying cancer cells. The result of simulation shows that wavelet transform can be used to detect a cancer through DNA sequence analysis. Wavelet transform shows the better performance than fourier transformation. In wavelet transform, orthogonal wavelet give better result that biorthogonal wavelet.

Abstrak :
Insiden dan mortalitas dari colorectal cancer CRC terus meningkat Beberapa metode skrining CRC umumnya bersifat invasif dan tidak nyaman Single Nucleotide Polymorphism SNP dapat dimanfaatkan sebagai marker untuk skrining CRC dengan tingkat invasif yang rendah Penelitian ini bertujuan untuk memvalidasi asosiasi antara SNP ldquo X rdquo dengan kerentanan terhadap CRC sporadik Desain penelitian menggunakan studi potong lintang Jumlah sampel dan daya uji pada kelompok CRC sporadik dan kontrol ditentukan dengan menggunakan Epi Info versi 3 5 1 DNA genomik diperoleh dari sampel darah kedua kelompok kemudian dilakukan PCR dan sequencing untuk melacak genotip SNP ldquo X rdquo dengan ukuran amplikon 979 pb Hasil analisis statistik menunjukkan nilai PValue genotip TT terhadap Non TT sebesar 0 025 P 0 05 dengan Odds Ratio OR 0 193 0 420 0 911 Setelah dikoreksi dengan binary logistic regression didapatkan P Value sebesar 0 047 dengan OR 0 188 0 431 0 988 P Value genotip GT terhadap Non GT 0 890 dengan OR 0 561 0 963 1 652 P Value genotip GG terhadap Non GG 0 076 dengan OR 0 949 1 628 2 793 Hasil menunjukkan adanya asosiasi antara genotip TT pada SNP ldquo X rdquo dengan menurunnya kerentanan terhadap CRC sporadik Studi lanjutan pada populasi lainnya di wilayah Indonesia perlu dilakukan untuk pemetaan pola variasi genetic di SNP ldquo X rdquo dan untuk mengetahui pengaruhnya di gen gen terdekat yang berkorelasi terhadap CRC sporadik.

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The incidence and mortality of colorectal cancer CRC increase rapidly Some CRC screening methods are invasive and generally uncomfortable Single Nucleotide Polymorphism SNP can be utilized as a marker for CRC screening with low level of invasiveness This study aimed to validate the association between SNP X with susceptibility to sporadic CRC This study is a crosssectional study Number of samples and power in CRC and control groups were determined using Epi Info v3 5 1 Genomic DNA were obtained from whole blood samples and followed by PCR 979 bp amplicon and direct sequencing to determine the genotype pattern Statistical analysis showed that P Value of genotype TT vs Non TT is 0 025 P 0 05 with Odds Ratio OR 0 193 0 420 0 911 P Value after adjustment using binary logistic regression was 0 047 with OR 0 188 0 431 0 988 P Value of genotype GT vs Non GT was 0 890 with OR 0 561 0 963 1 652 P Value of genotype GG vs Non GG was 0 076 with OR 0 949 1 628 2 793 There was a significant association between TT genotype at the SNP X with decreased susceptibility to sporadic CRC Further study will be needed to identify genetic variation patterns in the SNP X rdquo in other populations in Indonesia region and to investigate its effect to the nearest genes and its correlation to sporadic CRC.

Abstrak :
Toxicogenomics is the integration of genomics to toxicology. This technology is a powerful tool for collecting information from a large number of biological samples simultaneously and thus it is very useful for large-scale screening of potential toxicants. Toxicogenomics : a powerful tool for toxicity assessment provides up-to-date state-of-the-art information presented by the recognized experts, and is therefore an authoritative source of current knowledge in this field of research. The potential link between toxicology, genetics and human diseases makes this book very useful to investigators in many and varied disciplines of science and toxicology.