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Abstrak :
Teknologi komputer yang berkembang sangat cepat mengakibatkan kebutuhan akan sumber daya komputasi seperti kecepatan proses dan media penyimpanan terus menerus bertambah. Bukanlah hal yang bijak jika terus menerus meningkatkan spesifikasi komputer demi memenuhi kebutuhan akan sumber daya ini. Atas dasar itulah lahir sebuah teknologi baru yaitu Grid Computing yang merupakan penerus teknologi Distributed Computing. Grid Computing mempunyai ide dasar yaitu menggunakan sumber daya komputer dari suatu jaringan untuk menyelesaikan suatu masalah. Pada skripsi ini dibahas mengenai prinsip kerja SUN Grid Engine (SGE) yang merupakan komponen dasar Bio-ClusterGrid (BCG) yang diaplikasikan dengan menggunakan aplikasi komputasi biologi Basic Local Alignment Search Tool (BLAST). Dalam skripsi ini akan diamati node-node mana saja yang dipilih oleh SGE untuk menjalankan aplikasi BLAST dan alasan mengapa SGE memilih node tersebut untuk menjalankan aplikasi BLAST. Pengamatan dilakukan dengan memasukkan pekerjaan komputasi biologi BLAST ke sistem sebanyak 15 sesi dan setiap sesi pekerjaan dimasukkan sebanyak kurang lebih 100 kali. Dapat dilihat bahwa node yang memiliki load awal rata-rata terkecil yaitu node micron (0,008) dan neutron (0,0067) akan mengalami peningkatan load akhir rata-rata yang paling signifikan yaitu micron sebesar 0,079 dan neutron sebesar 0,075. Sedangkan node yang lainnya cenderung mengalami penurunan load karena pekerjaan jarang dimasukkan ke node tersebut. Hal ini menunjukkan bahwa prinsip kerja SGE adalah memilih node dengan load yang terkecil untuk diberikan pekerjaan.

Abstrak :
This book highlights the latest breakthrough developments in bioinformatics. It presents a series of timely, in-depth reviews, drug clinical trial studies, biodiversity informatics and thematic issues. In addition, it includes insightful reviews on advances in computational molecular/​structural biology, which address areas such as computing in biomedicine and genomics, computational proteomics and systems biology, and metabolic pathway engineering. Innovations in these fields have direct impacts on key issues related to healthcare, medicine, genetic disorders, the development of agricultural products, renewable energy, and environmental protection. Written by respected leaders in the field and covering a wide range of topics involving the integration of biology with computer and information science, the book offers an ideal basis for teaching at the undergraduate and graduate levels. It can also be used for self-instruction by research investigators interested in applying bioinformatics-based analytical methods and information technologists working with academic and industrial laboratories.

Abstrak :
Cutting edge source for algorithms dealing with most studied, most important, and newest topics in Computational Molecular Biology. Offers both the fundamental introductory information and advanced technical data, with related problems. Intended for use by researchers, computer scientists, life scientists, and mathematicians

Abstrak :
Do you have a biological question that could be readily answered by computational techniques, but little experience in programming? Do you want to learn more about the core techniques used in computational biology and bioinformatics? Written in an accessible style, this guide provides a foundation for both newcomers to computer programming and those interested in learning more about computational biology. The chapters guide the reader through: a complete beginners' course to programming in Python, with an introduction to computing jargon; descriptions of core bioinformatics methods with working Python examples; scientific computing techniques, including image analysis, statistics and machine learning. This book also functions as a language reference written in straightforward English, covering the most common Python language elements and a glossary of computing and biological terms. This title will teach undergraduates, postgraduates and professionals working in the life sciences how to program with Python, a powerful, flexible and easy-to-use language.

Abstrak :
This self-contained textbook covers fundamental aspects of sequence analysis in evolutionary biology, including sequence alignment, phylogeny reconstruction, and coalescent simulation. It addresses these aspects through a series of over 400 computer problems, ranging from elementary to research level to enable learning by doing. Students solve the problems in the same computational environment used for decades in science ? the UNIX command line. This is available on all three major operating systems for PCs: Microsoft Windows, Mac-OSX, and Linux. To learn using this powerful system, students analyze sample sequence data by applying generic tools, bioinformatics software, and over 40 programs specifically written for this course. The solutions for all problems are included, making the book ideal for self-study. Problems are grouped into sections headed by an introduction and a list of new concepts and programs. By using practical computing to explore evolutionary concepts and sequence data, the book enables readers to tackle their own computational problems.