IEEE-ACM Transactions on Computational Biology and Bioinformatics

IEEE/ACM Transactions on Computational Biology and Bioinformatics emphasizes the algorithmic, mathematical, statistical, and computational methods that are central in bioinformatics and computational biology; the development and testing of effective computer programs in bioinformatics; the development of biological databases; and important biological results that are obtained from the use of these methods, programs and databases; the emerging field of Systems Biology, where many forms of data are used to create a computer-based model of a complex biological system. The publication represents a mixture of three research modalities: a) fundamental methodological, algorithmic, mathematical and statistical research directly motivated by biological issues; b) papers focusing on experimental and implementation issues; and c) papers on serious application of methods and programs that lead to discoveries of biological significance. Increasingly, papers contain elements of all three modalities. Specific topics of interest include, but are not limited to, sequence analysis, comparison and alignment methods; motif, gene and signal recognition; molecular evolution; phylogenetics and phylogenomics; determination or prediction of the structure of RNA and Protein in two and three dimensions; DNA twisting and folding; gene expression and gene regulatory networks; deduction of metabolic pathways; micro-array design and analysis; proteomics; functional genomics; molecular docking and drug design; computational problems in genetics such as linkage and QTL analysis, linkage disequilibrium analysis in populations, and haplotype determination; systems biology.

IEEE-ACM Transactions on Computational Biology and Bioinformatics期刊中文简介

IEEE/ACM《计算生物学与生物信息学学报》强调在生物信息学和计算生物学中处于核心地位的算法、数学、统计和计算方法;生物信息学中有效计算机程序的开发与测试发展生物数据库;以及利用这些方法、程序和数据库获得的重要生物学结果;系统生物学的新兴领域，其中许多形式的数据被用来创建一个基于计算机的复杂生物系统模型。该出版物代表了三种研究模式的混合:a)由生物学问题直接推动的基本方法学、算法、数学和统计研究;b)重点研究实验和实施问题的论文;c)关于认真应用方法和程序，从而发现具有生物学意义的论文。越来越多的论文包含了所有三种模式的要素。感兴趣的具体主题包括但不限于序列分析、比较和对齐方法;基序、基因和信号识别;分子进化;系统遗传学和系统基因组学;二、三维RNA和蛋白质结构的测定或预测;DNA扭曲和折叠;基因表达与基因调控网络代谢途径的推断;微阵列设计与分析;蛋白质组学;功能基因组学;分子对接与药物设计;遗传计算问题，如连锁和QTL分析，群体连锁不平衡分析，单倍型确定;系统生物学。