Bioinformatics of DNA

作     者：Heath, Lenwood S. Bravo, Hector Corrada Caccamo, Mario Schatz, Michael 

作者机构：Virginia Tech Dept Comp Sci Blacksburg VA USA Univ Maryland College Pk MD USA Univ Maryland Ctr Bioinformati & Computat Biol College Pk MD USA Univ Maryland Inst Adv Comp Studies UMIACS College Pk MD USA Natl Inst Agr Bot NIAB Crop Bioinformat Cambridge England Univ East Anglia Norwich Norfolk England Johns Hopkins Univ Baltimore MD USA Cold Spring Harbor Lab Cold Spring Harbor NY USA 

出 版 物：《PROCEEDINGS OF THE IEEE》 (Proc. IEEE)

年 卷 期：2017年第105卷第3期

页      面：419-421页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 

主　　题：Special issues and sections Bioinformatics Genomes Data analysis Genetics DNA Biodiversity Algorithm design and analysis 

摘      要：This special issue introduces current developments in bioinformatics, the use of computational techniques in the service of the life sciences, in the specific context of the analysis and interpretation of DNA molecules, where DNA is the primary informational molecule of all life. To fully appreciate the papers in this issue, some background knowledge in biology is required. The DNA in a cell is organized into a genome consisting of one or more chromosomes, each of which is a DNA molecule, which can be thought of as a long string over the alphabet of nucleotides, A, C, G, and T. Within a DNA string or sequence are substrings that are genes that normally encode the recipe for the functional proteins in the cell. The human genome is organized into 23 pairs of chromosomes, one maternal and one paternal chromosome set, containing a total of approximately six billion nucleotides. Amazingly, all ~1 trillion cells in one’s body, of diverse form and function, contain the same “molecular blueprint with a near perfect copy of their genome.